VASC Seminar
Shih-En Wei
Research Scientist
Facebook Reality Labs

VR facial animation via multiview image translation

GHC 6501

Abstract:  A key promise of Virtual Reality (VR) is the possibility of remote social interaction that is more immersive than any prior telecommunication media. However, existing social VR experiences are mediated by inauthentic digital representations of the user (i.e., stylized avatars). These stylized representations have limited the adoption of social VR applications in precisely those [...]

VASC Seminar
Stephen Lombardi
Research Scientist
Facebook Reality Labs

Neural Volumes: Learning Dynamic Renderable Volumes from Images

GHC 6501

Abstract:   Modeling and rendering of dynamic scenes is challenging, as natural scenes often contain complex phenomena such as thin structures, evolving topology, translucency, scattering, occlusion, and biological motion. Mesh-based reconstruction and tracking often fail in these cases, and other approaches (e.g., light field video) typically rely on constrained viewing conditions, which limit interactivity. We [...]

Special Events

RI40: Past, Present, and Future

Gates-Hillman Center 4401

Please plan to join us on Friday, October 25, 2019 as we celebrate 40 years of people, robots, and innovation! 40 years ago Carnegie Mellon University’s Robotics Institute opened its doors with the dream of ushering in a new age of thinking robots. During the ensuing decades, we have experienced many research successes in intelligent [...]

Seminar
H. Harry Asada
Ford Professor of Engineering; Director, d'Arbeloff Laboratory for Information Systems and Technology
Massachusetts Institute of Technology

RI40 Seminar: From Direct-Drive to SuperLimb Bionics

1305 Newell Simon Hall

In 1980-81 the first Direct-Drive robot was developed at the CMU Robotics Institute. After almost 40 years, Direct-Drive has a renewed interest in the leg robotics community. Robotic legs powered by direct-drive or low gear-reduction motors can better interact with the ground and absorb impacts. In this seminar I will talk about robot design in [...]

Field Robotics Center Seminar
Tom Scherlis & Advaith Sethuraman
Undergraduate Students
Department of Electrical and Computer Engineering, Carnegie Mellon University

Tartan AUV: A Dive into Carnegie Mellon’s RoboSub Team

NSH 4305

Abstract: Founded last year, Tartan AUV is Carnegie Mellon’s undergraduate underwater robotics team which competes annually in the RoboSub competition. RoboSub teams must design, build, and test autonomous underwater vehicles that compete each August to complete tasks related to underwater navigation, object detection and manipulation, and acoustic beacon localization. In this talk we will provide [...]

RI Seminar
Rebecca Taylor
Assistant Professor
Mechanical Engineering, Carnegie Mellon University

DNA and gammaPNA in programmable nanomaterials for sensing, robotics and manufacturing

Gates Hillman Center 6115

Abstract: When programmable nanomaterials are used in conjunction with rapid microfabrication techniques like two photon polymerization, it becomes possible to rapidly prototype microstructures with nanoscale components. In this research presentation I introduce DNA nanotechnology using a commonly used simple nanotube motif, and I will illustrate how nucleic acid nanotubes can be used in sensing, robotics [...]

VASC Seminar
Franziska Mueller
M.Sc. (Doctoral Candidate)
Max Planck Institute for Informatics

Towards Lightweight Real-time Hand Reconstruction in Challenging

GHC 6501

Abstract: Humans naturally use their hands to interact and communicate with their surroundings. Reconstructing these complex and dexterous hand interactions enables sign-language recognition and translation, better assistive robots, and more immersive human-computer interaction (e.g. for AR and VR). To make hand reconstruction usable for the aforementioned applications and to a wide set of users, the [...]

Special Events
Ming Luo
Stanford University
Mechanical Engineering Department, Stanford University

Soft Robotics challenges: Design, Fabrication, Control, and Motion Planning

Gates-Hillman Center 8102

Abstract: More and more robots of the future will be soft. A soft body can absorb impact forces from collisions with obstacles, making robots suitable for unpredictable environments and safe for human-robot interaction. However, widespread application of soft robotics in daily life, business, and consumer products have not yet been achieved, because established robotic technologies, [...]

VASC Seminar
Madalina Fiterau
Assistant Professor
UMass Amherst,College of Information and Computer Sciences

Hybrid Methods for the Integration of Heterogeneous Multimodal Biomedical Data

GHC 6501

Abstract:  The prevalence of smartphones and wearable devices for health monitoring and widespread use of electronic health records have led to a surge in heterogeneous multimodal healthcare data, collected at an unprecedented scale. My research focuses on developing machine learning techniques that learn salient representations of multimodal, heterogeneous data for biomedical predictive models. The first [...]

PhD Speaking Qualifier
Robotics Institute,
Carnegie Mellon University

Online and Consistent Occupancy Grid Mapping

GHC 4405

Abstract: Actively exploring and mapping an unknown environment requires integration of both simultaneous localization and mapping (SLAM) and path planning methods. Path planning relies on a map that contains free and occupied space information and is efficient to query, while the role of SLAM is to keep the map consistent as new measurements are continuously [...]

PhD Speaking Qualifier
Robotics Institute,
Carnegie Mellon University

A Planning Framework for Persistent, Multi-UAV Coverage with Global Deconfliction

NSH 3001

Abstract: Planning for multi-robot coverage seeks to determine collision-free paths for a fleet of robots, enabling them to collectively observe points of interest in an environment. Persistent coverage is a variant of traditional coverage where coverage-levels in the environment decay over time. Thus, robots have to continuously revisit parts of the environment to maintain a [...]

RI Seminar
Girish Chowdhary
Assistant Professor
Department of Agricultural and Biological Engineering, University of Illinois at Urbana-Champaign

The Robots are Coming – to your Farm! AKA: Autonomous and Intelligent Robots in Unstructured Field Environments

Gates Hillman Center 6115

Abstract: What if a team of collaborative autonomous robots grew your food for you? In this talk, I will discuss some key advances in robotics, machine learning, and autonomy that will one day enable teams of small robots to grow food for you in your backyard in a fundamentally more sustainable way than modern mega-farms! [...]

PhD Thesis Proposal
Robotics Institute,
Carnegie Mellon University

‘Unboxing’ anomaly detection and panoptic segmentation

GHC 4405

Abstract: Panoptic segmentation is a recent problem in computer vision that attempts to classify each pixel in an image according to its semantic and instance label (accomplishing both semantic segmentation and instance segmentation respectively). Most existing panoptic and instance segmentation methods run a detection-first pipeline, where a bounding box is placed around an object and [...]

PhD Thesis Defense
Robotics Institute,
Carnegie Mellon University

Self-Supervised Learning on Mobile Robots Using Acoustics, Vibration, and Visual Models to Build Rich Semantic Terrain Maps

NSH 3305

Abstract: Humans and robots would benefit from having rich semantic maps of the terrain in which they operate. Mobile robots equipped with sensors and perception software could build such maps as they navigate through a new environment. This information could then be used by humans or robots for better localization and path planning, as well [...]

VASC Seminar
Carlos Vallespi
Staff Engineer and Technical Lead Manager
Uber ATG

Self-Driving Cars & AI: Transforming our Cities and our Lives

GHC 6501

Abstract:  Recent algorithmic and hardware improvements resulted in several success stories in the field of Artificial Intelligence (AI) which impact our daily lives. However, despite its ubiquity, AI is only just starting to make advances in what may arguably have the largest societal impact thus far, the nascent field of autonomous driving. At Uber ATG, [...]

PhD Thesis Proposal
Robotics Institute,
Carnegie Mellon University

Transfers Between Multiple Service Robots

GHC 4405

Abstract: With the deployment of more robots, human-robot interaction will no longer be limited to a one-to-one interaction between a user and a robot. Instead, users will likely have to interact with multiple robots, simultaneously or sequentially, throughout their day to receive services and complete different tasks. In this thesis proposal, I am proposing joint [...]

PhD Thesis Proposal
Robotics Institute,
Carnegie Mellon University

Machine Learning Parallelism Could Be Adaptive, Composable and Automated

NSH 3305

Abstract: In recent years, the pace of innovations in the fields of machine learning has accelerated. To cope with the sheer computational complexity of training large ML models on large datasets, researchers in SysML have created algorithms and systems that parallelize ML training and inference over multiple CPUs or GPUs, or even multiple computing nodes [...]

MSR Speaking Qualifier

MSR Thesis Talk – Matt Martone

Newell-Simon Hall 3305

Title: Design and Control of a Large Modular Hexapod   Abstract: Legged robotic systems have made great strides in recent years, but unlike wheeled robots, limbed locomotion does not scale well.  Long legs demand huge torques, driving up actuator size and onboard battery mass.  This relationship results in massive structures that lack the safety, portability, [...]

RI Seminar
Jeff Clune
Associate Professor
Computer Science, University of Wyoming

Improving Robot and Deep Reinforcement Learning via Quality Diversity and Open-Ended Algorithms

Gates Hillman Center 6115

Abstract: Quality Diversity (QD) algorithms are those that seek to produce a diverse set of high-performing solutions to problems. I will describe them and a number of their positive attributes. I will then summarize our Nature paper on how they, when combined with Bayesian Optimization, produce a learning algorithm that enables robots, after being damaged, to adapt in 1-2 minutes [...]

PhD Speaking Qualifier
Robotics Institute,
Carnegie Mellon University

Online Kinodynamic Planning for Teams of Aerial Robots in 3-D Workspaces

NSH 4305

Abstract: An efficient online planning or replanning methodology is a critical requirement for scalable and responsive real world multi-robot deployments. The need to replan typically stems from the invalidation of existing plans due to incomplete knowledge of the environment, or, from scenarios that necessitate changing goal locations in response to evolving application requirements. In this [...]

VASC Seminar
Larry Zitnick
Research Scientist
Facebook AI Research

Go, fastMRI, and Minecraft: Exploring the limits of AI

GHC 6501

Abstract: The application of AI across various domains demonstrates both the promise of existing techniques but also their limitations. In this talk, I explore three recent projects and how they shed light on the progress of AI and the challenges to come. These projects include ELF OpenGo a reimplementation of AlphaZero, fastMRI for reducing the time [...]

Special Events

Robotics Institute Administrative Staff Winter Tree Lunch

Newell-Simon Hall 4201

Please join us for our annual Robotics Institute Administrative Staff Winter Tree Decorating Lunch. A light lunch will be provided but staff-created treats will always be welcomed.

PhD Thesis Proposal
Robotics Institute,
Carnegie Mellon University

Expressive Real-time Intersection Scheduling: New Methods for Adaptive Traffic Signal Control

GHC 6501

Abstract: Traffic congestion is a widespread problem throughout global metropolitan areas. In this thesis, we consider methods to optimize the performance of traffic signals to reduce congestion. We begin by presenting Expressive Real-time Intersection Scheduling (ERIS), a schedule-driven intersection control strategy that runs independently on each intersection in a traffic network. For each intersection, ERIS [...]

PhD Speaking Qualifier
Robotics Institute,
Carnegie Mellon University

Open-world 3D Object Detection

NSH 4305

Abstract: Perception for autonomous robots presents a set of unique challenges: finding the right representation for 3D signals, adapting to an open-world setting, and exploiting geometric priors. Successfully detecting objects regardless of their labels lays a solid foundation for safe navigation. I will present two of my recent works in this line. First, I will [...]

VASC Seminar
Zhiding Yu
Research Scientist
NVIDIA Research

Towards Weakly-Supervised Visual Understanding

GHC 6501

Abstract:  Learning with weak and self-supervisions recently emerged as compelling tools towards leveraging vast amounts of unlabeled or partially-labeled data. In this talk, I will present some of the latest advances in weakly-supervised visual scene understanding from NVIDIA. Specifically, I will summarize and discuss some challenges and potential solutions in weakly-supervised learning, and introduce our [...]

MSR Speaking Qualifier
PhD Student
Robotics Institute,
Carnegie Mellon University

MSR Thesis Talk: Jenny Nan

Smith Hall 200

Title: Combining Deep Learning and Verification for Precise Object Instance Detection   Abstract: Deep learning based object detectors often return false positives with very high confidence. Although they optimize generic detection performance, such as mean average precision (mAP), they are not designed for reliability. For a reliable detection system, if a high confidence detection is [...]

MSR Speaking Qualifier
Robotics Institute,
Carnegie Mellon University

MSR Thesis talk – Vasu Agrawal

NSH 4305

Title: Ground Up Design of a Multi-modal Object Localization System   Abstract:   Rapid situational awareness is the key to enabling a successful response from first responders during an emergency, where time is of the essence. Emergency personnel are often sent into incident scenes to gather information, but this is often a dangerous and slow process.  Subterranean environments [...]

MSR Speaking Qualifier
PhD Student
Robotics Institute,
Carnegie Mellon University

MSR Thesis Talk – Swaminathan Gurumurthy

GHC 4405

Title: Improving generalization in data-driven models with task-specific knowledge Abstract: With the rise of the over-parameterized deep learning models and massive datasets, many have started advocating towards minimizing the amount of prior knowledge added to a learning model. Ironically, the traditional machine learning community advocated for exactly the opposite. Whereas the latter assumes knowledge of [...]

Special Events

RI Winter Party

Newell-Simon Hall Perlis Atrium

Robotics Institute Winter Party Please join us for some fun, food, beverages and conversation! All RI faculty, staff, students and visitors are invited to the Robotics Institute Winter Party! We apologize but due to space limitations in the Atrium we regretfully cannot include family or other non-RI guests.

VASC Seminar
Vivek Boominathan
Postdoctoral Researcher
Rice University

Imaging without focusing: A computational approach to miniaturizing cameras

3305 Newell-Simon Hall

Abstract:  Miniaturization of cameras is key to enabling new applications in areas such as connected devices, wearables, implantable medical devices, in vivo microscopy, and micro-robotics. Recently, lenses were identified as the main bottleneck in miniaturization of cameras. Standard smaller lens-system camera modules have a thickness of about 10 mm or higher, and reducing the size [...]

PhD Thesis Proposal

Adaptive Planning and Control of Wheeled Mobile Robots in Challenging Environments

GHC 4405

Abstract: Over the last two decades, we have seen driverless cars conquer the Mojave desert, drive on mars and operate on our streets and warehouses. One of the most fundamental requirements of such robots is their ability to navigate their environment with minimal human oversight. As more robots graduate from the confines of laboratories to [...]

VASC Seminar
Pablo Garrido
Research Scientist
Epic Games

Towards photo-realistic face digitization from monocular videos

GHC 6501

Abstract:  Recent advances in face capture now enable digitizing high-quality 3D faces for the entertainment industry. Standardized digitization solutions, however, require tailor-made capture systems and extensive manual work, making them expensive and hard to deploy. With the advent of commodity sensors, new lightweight approaches that push the boundaries of human digitization have been introduced, slowly [...]

PhD Speaking Qualifier
PhD Student
Robotics Institute,
Carnegie Mellon University

When to use CNNs for Inverse Problems in Vision

NSH 4201

Abstract: Reconstruction tasks in computer vision aim fundamentally to recover an undetermined signal from a set of noisy measurements. Examples include super-resolution, image denoising, and non-rigid structure from motion\cite{Kong_2019}, all of which have seen recent advancements through deep learning. However, earlier work made extensive use of sparse signal reconstruction frameworks (e.g. convolutional sparse coding). While [...]

RI Seminar
Sam Burden
Assistant Professor
Electrical & Computer Engineering, University of Washington

Toward telelocomotion: human sensorimotor control of contact-rich robot dynamics

1305 Newell Simon Hall

Abstract: Human interaction with the physical world is increasingly mediated by automation -- planes assist pilots, cars assist drivers, and robots assist surgeons. Such semi-autonomous machines will eventually pervade our world, doing dull and dirty work, assisting the elderly and disabled, and responding to disasters. Recent results (e.g. from the DARPA Robotics Challenge) demonstrate that, [...]

Faculty Events

2020 RI Faculty Dinner

Pittsburgh Golf Club 5280 Northumberland Street, Pittsburgh, PA, United States

Invitation with information will be emailed to invitees.

RI Seminar
Hadas Kress-Gazit
Associate Professor
College of Engineering, Cornell University

Formal Synthesis for Robots

Abstract: In this talk I will describe how formal methods such as synthesis – automatically creating a system from a formal specification – can be leveraged to design robots, explain and provide guarantees for their behavior, and even identify skills they might be missing. I will discuss the benefits and challenges of synthesis techniques and [...]

VASC Seminar
Thiemo Alldieck
PhD Candidate
Facebook Reality Labs

Reconstructing 3D Human Avatars from Monocular Images

GHC 6501

Abstract:  Statistical 3D human body models have helped us to better understand human shape and motion and already enabled exciting new applications. However, if we want to learn detailed, personalized, and clothed models of human shape, motion, and dynamics, we require new approaches that learn from ubiquitous data such as plain RGB-images and video. I [...]

PhD Thesis Proposal
Robotics Institute,
Carnegie Mellon University

Learning Dense 3D Object Reconstruction without Geometric Supervision

GHC 6501

Abstract: Geometric alignment across visual data has been the fundamental issue for effective and efficient computer vision algorithms. The established pixel correspondences between images indirectly infer the underlying 3D geometry, physically or semantically. While this builds the foundation of classical multi-view 3D reconstruction algorithms such as Structure from Motion (SfM) and Simultaneous Localization and Mapping [...]

RI Seminar
Assistant Professor
Robotics Institute,
Carnegie Mellon University

Extreme Motions in Biological and Engineered Systems

1305 Newell Simon Hall

Abstract: Dr. Temel’s work mainly focuses on understanding the dynamics and energetics of extreme motions in small-scale natural and synthetic systems. Small-scale biological systems achieve extraordinary accelerations, speeds, and forces that can be repeated with minimal costs throughout the life of the organism. Zeynep uses analytical and computational models as well as physical prototypes to learn about these systems, test [...]

VASC Seminar
Adriana Kovashka
Assistant Professor
University of Pittsburgh

Reasoning about complex media from weak multi-modal supervision

GHC 6501

Abstract:  In a world of abundant information targeting multiple senses, and increasingly powerful media, we need new mechanisms to model content. Techniques for representing individual channels, such as visual data or textual data, have greatly improved, and some techniques exist to model the relationship between channels that are “mirror images” of each other and contain [...]

RI Event
Omry Yadan
Research Engineer
Facebook AI Research

Vision Tool Seminar: Hydra

3305 Newell-Simon Hall

Abstract: Hydra is an open-source Python framework developed at FAIR that aims to reduce the amount of boilerplate code in research and other complex applications. The key feature is the ability to dynamically create a hierarchical configuration by composition and override it through config files and the command line. The name Hydra comes from its [...]

RI Seminar
Raquel Urtasun
Chief Scientist & Head
Uber Advanced Technologies Group Toronto

CANCELLED

CIC Building Room 1201

VASC Seminar
Benjamin Schmidt
President and Co-Founder
RoadBotics

Building Trust in Real World Applications of Vision Based Machine Learning

GHC 6501

Abstract:  In all machine learning problems, there is an explicit trade off between cost and benefit. In real world vision problems, this optimization becomes increasingly difficult since those trade offs directly impact technology and product development as well as business strategy. For any successful business case, it is critical that the cost/benefit trade offs in [...]

PhD Speaking Qualifier
PhD Student
Robotics Institute,
Carnegie Mellon University

Tendon Driven Foam Hands

GHC 6501

Abstract: There has been great progress in soft robot design, manufacture, and control in recent years, and soft robots are a tool of choice for safe and robust handling of objects in conditions of uncertainty. Still, dexterous in-hand manipulation using soft robots remains a challenge. This talk introduces a novel class of soft robots in [...]

VASC Seminar
Partha Pratim Talukdar
Associate Professor
IIScBangalore / Founder, KENOME

Knowledge Infused Deep Learning

Newell-Simon Hall 4305

Abstract:  This talk is motivated by the following thesis: Background knowledge is key to intelligent decision making. While deep learning methods have made significant strides over the last few years, they often lack the context in which they operate. Knowledge Graphs (and more generally multi-relational graphs) provide a flexible framework to capture and represent knowledge [...]

PhD Speaking Qualifier
Robotics Institute,
Carnegie Mellon University

Towards a Good Representation For Reinforcement Learning

WEH 5421

Abstract: Deep reinforcement learning has achieved many successes over the recent years. However, its high sample complexity and the difficulty in specifying a reward function have limited its application. In this talk, I will take a representation learning perspective towards these issues. Is it possible to map from the raw observation, potentially in high dimension, [...]

RI Seminar
Sarjoun Skaff
Co-Founder & CTO
Bossa Nova Robotics

Yes, That’s a Robot in Your Grocery Store. Now what?

CIC Building Room 1201

Abstract: Retail stores are becoming ground zero for indoor robotics. Fleet of different robots have to coexist with each others and humans every day, navigating safely, coordinating missions, and interacting appropriately with people, all at large scale. For us roboticists, stores are giant labs where we're learning what doesn't work and iterating. If we get [...]

VASC Seminar
Georgios Pavlakos
PhD Student
University of Pennsylvania

Learning to Reconstruct 3D Humans

GHC 6501

Abstract:  Recent advances in 2D perception have led to very successful systems, able to estimate the 2D pose of humans with impressive robustness. However, our interactions with the world are fundamentally 3D, so to be able to understand, explain and predict these interactions, it is crucial to reconstruct people in 3D. In this talk, I [...]

PhD Thesis Proposal
Robotics Institute,
Carnegie Mellon University

Eye Gaze for Assistive Manipulation

NSH 4305

Abstract: Full robot autonomy is the traditional goal of robotics research. To work in a human-inhabited world, however, robots will often need to collaborate with humans. Many scenarios require human users to teleoperate robots to perform tasks, a paradigm that appears everywhere from space exploration, to disaster recovery, to assistive robotics. This collaboration enables tasks [...]

RI Seminar
Scott Niekum
Assistant Professor
Department of Computer Science, University of Texas at Austin

CANCELLED

Abstract: Before learning robots can be deployed in the real world, it is critical that probabilistic guarantees can be made about the safety and performance of such systems.  In recent years, safe reinforcement learning algorithms have enjoyed success in application areas with high-quality models and plentiful data, but robotics remains a challenging domain for scaling [...]

VASC Seminar
Xingyu Liu
PhD Student
Stanford University

Deep Learning for Understanding Dynamic Visual Data

GHC 6501

Abstract:  Perceiving dynamic environments from visual inputs allows autonomous agents to understand and interact with the world and is a core topic in Artificial Intelligence. The success of deep learning motivates us to apply deep learning techniques to the perception of dynamic visual data. However, how to design and apply deep neural networks to effectively [...]

PhD Thesis Proposal
Robotics Institute,
Carnegie Mellon University

Stability-Centric Mechanics for Rigid Body Manipulation

NSH 4305

Abstract: The repertoire of human manipulation is filled with creative use of contacts to move the object about the hand and the environment. It’s the combination of these skills that makes human manipulation dexterous. However, in most robotic applications the robot just fix all contact points on the object and do grasping. Reliable robot manipulation [...]

RI Seminar
Anca Dragan
Assistant Professor
EECS Department, University of California Berkeley

Optimizing for coordination with people

1305 Newell Simon Hall

https://youtu.be/AQ-w5o2oGI8 Abstract: From autonomous cars to quadrotors to mobile manipulators, robots need to co-exist and even collaborate with humans. In this talk, we will explore how our formalism for decision making needs to change to account for this interaction, and dig our heels into the subtleties of modeling human behavior -- sometimes strategic, often irrational, [...]

VASC Seminar
James Hays
Associate Professor
Georgia Institute of Technology

Analyzing Grasp Contact via Thermal Imaging

GHC 6501

Abstract:  Grasping and manipulating objects is an important human skill. Because contact between hand and object is fundamental to grasping, measuring it can lead to important insights. However, observing contact through external sensors is challenging because of occlusion and the complexity of the human hand. I will discuss the use of thermal cameras to capture [...]

Special Talk
Zac Manchester
Assistant Professor
Stanford University

Numerical Methods for Things That Move: From Quadrupeds to Starships

Newell-Simon Hall 4305

Abstract:  Recent advances in motion planning and control have led to dramatic successes like SpaceX’s rocket landings and Boston Dynamics’ humanoid robot acrobatics. However, the underlying numerical methods used in these applications are typically decades old, not tuned for high performance on planning and control problems, and are often unable to cope with the types [...]

PhD Thesis Defense
Robotics Institute,
Carnegie Mellon University

Combining Multiple Heuristics: Studies on Neighborhood-base Heuristics and Sampling-based Heuristics

NSH 4305

Abstract: This thesis centers on the topic of how to automatically combine multiple heuristics. For most computationally challenging problems, there exist multiple heuristics, and it is generally the case that any such heuristic exploits only a limited number of aspects among all the possible problem characteristics that we can think of, and by definition, is [...]

VASC Seminar
Sanjeev J. Koppal
Assistant Professor
University of Florida

Fast Foveation for LIDARs, Projectors and Cameras

GHC 6501

Abstract:  Most cameras today capture images without considering scene content. In contrast, animal eyes have fast mechanical movements that control how the scene is imaged in detail by the fovea, where visual acuity is highest. This concentrates computational (i.e. neuronal) resources in places where they are most needed. The prevalence of foveation, and the wide [...]

Special Events

POSTPONED – 2020 Robotics Institute Semi-formal

Pittsburgh Golf Club 5280 Northumberland Street, Pittsburgh, PA, United States

Due to uncertainty and developing conditions of the coronavirus (COVID-19) outbreak, the Robotics Institute at Carnegie Mellon has determined it best to postpone our planned RI Semi-formal activity on March 20, 2020. More information will be sent out once a new date has been selected. __________________POSTPONED _____________________ By invitation only: The 2020 Robotics Institute Semi-formal [...]