Calendar of Events
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6 events,
PhD Thesis Defense
Physical Interaction and Manipulation of the Environment using Aerial Robots
Abstract: The physical interaction of aerial robots with their environment has countless potential applications and is an emerging area with many open challenges. Fully-actuated multirotors have been introduced to tackle some of these challenges. They provide complete control over position and orientation and eliminate the need for attaching a multi-DoF manipulation arm to the robot. [...]
PhD Speaking Qualifier
Time-of-Flight Radiance Fields for Dynamic Scene View Synthesis
Abstract: Neural networks can represent and accurately reconstruct radiance fields for static 3D scenes (e.g., NeRF). Several works extend these to dynamic scenes captured with monocular video, with promising performance. However, the monocular setting is known to be an under-constrained problem, and so methods rely on data-driven priors for reconstructing dynamic content. We replace these [...]
RI Seminar
Ross L. Hatton
Robotics & Mechanical Engineering , Oregon State University
Snakes & Spiders, Robots & Geometry
Abstract: Locomotion and perception are a common thread between robotics and biology. Understanding these phenomena at a mechanical level involves nonlinear dynamics and the coordination of many degrees of freedom. In this talk, I will discuss geometric approaches to organizing this information in two problem domains: Undulatory locomotion of snakes and swimmers, and vibration propagation [...]
PhD Speaking Qualifier
Combining vision-based tactile, proximity, and global sensing for robotic manipulation
Abstract: I will begin by describing our work on visual servoing a manipulator and localizing objects using a robot-mounted suite of vision and vision-based tactile sensors, our results, algorithms used, and lessons learned. We show that by collocating tactile, and global (e.g. an RGB(D) camera) sensors, our setup can perform better than using each type [...]
PhD Thesis Defense
Visual Representation and Recognition without Human Supervision
Abstract: The advent of deep learning based artificial perception models has revolutionized the field of computer vision. These methods take advantage of the ever growing computational capacity of machines and the abundance of human-annotated data to build supervised learners for a wide-range of visual tasks. However, the reliance on human-annotated is also a bottleneck for [...]
1 event,
PhD Thesis Proposal
Large Scale Dense 3D Reconstruction via Sparse Representations
Abstract: Scene reconstruction systems take in (3D) videos as input, and output 3D models with associated poses for inputs. With the demand of 3D content generation, the technique has been drastically evolving in recent years. For professionals equipped with depth sensors, efficient dense reconstruction systems have become available to efficiently recover scene geometry. For ordinary [...]
3 events,
PhD Speaking Qualifier
Lessons Learned from Creating Low-Cost Dexterous Soft Robot Hands
Abstract: Soft robot hands have shown promising results when it comes to dexterous grasping and manipulation. Compared to their rigid counterparts, soft hands can be manufactured for a fraction of the cost and offer robustness to uncertainty due to their inherent compliance. Unfortunately, the design and fabrication of soft robot hands is still a time-consuming [...]
PhD Thesis Defense
Learning Multi-Modal Navigation in Unstructured Environments
Abstract: A robot that operates efficiently in a team with humans in an unstructured outdoor environment must translate commands into actions from a modality intuitive to its operator. The robot must be able to perceive the world as humans do so that the actions taken by the robot reflect the nuances of natural language and [...]
PhD Speaking Qualifier
Modern Trajectory Forecasting Methods Lack Social Awareness
Abstract: We present a thorough evaluation and analysis of state-of-the-art (SOTA) human trajectory forecasting methods with respect to metrics for safe and socially-aware prediction, e.g., collision rate, in addition to traditional displacement metrics, e.g., average displacement error. First, we introduce a system for trajectory classification which is used to evaluate the strengths and weaknesses of [...]
2 events,
MSR Speaking Qualifier
Vision-based Aircraft Detection and Tracking for Detect-and-Avoid
Abstract: Detect-and-Avoid (DAA) capabilities are critical for autonomous operations of small unmanned aircraft systems (sUAS). Traditionally DAA systems for large aircraft have been ground and radar-based. Due to the size, weight, and power (SWaP) constraints of sUAS, current DAA systems rely mainly on vision-based sensors and ADS-B (Automatic Dependent Surveillance-Broadcast) transponders. However, not all flying […]
PhD Thesis Proposal
Teaching Agent Reward Functions via Demonstrations for Human Inverse Reinforcement Learning
Abstract: For intelligent agents (e.g. robots) to be seamlessly integrated into human society, humans must be able to understand their decision making. For example, the decision making of autonomous cars must be clear to the engineers certifying their safety, passengers riding them, and nearby drivers negotiating the road simultaneously. As an agent's decision making can […]
2 events,
Faculty Events
RI Council Meeting
RI Council Meeting
RI Council is a leadership group made up of the Director of RI, Academic Program Leads, Committee Chairs, and members at large as appointed by the Director. RI Council meets generally once a week to discuss department business.
PhD Speaking Qualifier
Learning to perform dynamic and interactive tasks using structural and algorithmic priors
Abstract: Everyday human tasks such as picking up an object in one smooth motion, pushing a heavy door using the momentum of our bodies or pushing off a wall to quickly turn a corner involve complex dynamic interactions between the human and the environment, as well as switching dynamics when the robot makes and breaks […]
1 event,
Special Events
The Robotics Institute Semi-formal
The Robotics Institute Semi-formal
All Robotics Institute faculty, students, visitors and staff are invited with to attend. One guest per person. RSVP required. Please check your emails for the e-vite and RSVP link. Please contact Debbie Tobin, dmz@cs.cmu.edu, with any questions.
0 events,
3 events,
PhD Speaking Qualifier
Simple Shape Descriptors for Retinal Surface Estimation using a Laser-Aiming Beam
Abstract: Retinal surgery procedures like epiretinal membrane peeling and retinal vein cannulation require surgeons to manipulate very delicate structures in the eye with little room for error. Many robotic surgery systems have been developed to help surgeons and enforce safeguards during these demanding procedures. One essential piece of information that is required to create and […]
PhD Speaking Qualifier
Affective Robot Behavior Improves Learning in a Sorting Game
Abstract: Nonverbal communication in the field of education can allow teachers to emotionally support their students and improve educational experience and performance. Robot nonverbal movements have been shown to improve both subjective experiences and task performance, and this work investigates whether affective robot behavior can improve human learning. This is tested using an online sorting […]
PhD Thesis Proposal
Policy Decomposition: Approximate Optimal Control with Suboptimality Estimates
Abstract: Optimal Control is a formulation for designing controllers for dynamical systems by posing it as an optimization problem, whereby the desired long-term behavior of the system is expressed using a cost function. The objective is to compute a policy, i.e. a mapping from the state of the system to its control inputs, that minimizes […]
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1 event,
PhD Thesis Proposal
Audience-Aware Legibility for Social Navigation
Abstract: Robots often need to communicate their goals to humans when navigating in a shared space to assist observers in anticipating the robot’s future actions. These human observers are often scattered throughout the environment, and each observer only has a partial view of the robot and its movements. A path that non-verbally communicates with multiple […]
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Special Events
CMU Community Picnic
CMU Community Picnic
As shared during President Jahanian’s recent town hall discussions, the CMU Community Picnic is returning on May 18 (11:30 am to 1:30 pm). The Office of Human Resources, in partnership with Staff Council and the Office of the President, sponsors and organizes this yearly celebration as a thank you for the hard work and contributions […]
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1 event,
Faculty Events
Generalization for Robot Learning In The Wild
Abstract: How can we train a robot that can generalize to perform thousands of tasks in thousands of environments? This question underscores the holy grail of robot learning, more generally machine learning, research. Current AI systems are incredibly specific in that they only perform the tasks they are trained for and are miserable at generalization. […]
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1 event,
PhD Thesis Proposal
On Sample-Efficient Reinforcement Learning for Nuclear Fusion
Abstract: In many practical applications of reinforcement learning (RL), it is expensive to observe state transitions from the environment. For example, in the problem of plasma control for nuclear fusion, determining the next state for a given state-action pair requires querying an expensive transition function which can lead to many hours of computer simulation or […]
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1 event,
PhD Speaking Qualifier
Learning Strategies to Solve Real-World Physics Puzzles
Abstract: In this talk, I focus on efficient online learning for solving real-world physics puzzles. I discuss challenges associated with learning in this domain and how those challenges inform certain design decisions. In particular, learning from scratch in the real world would be difficult. I present a practical mixture of experts framework for learning strategies […]
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Carnegie Mellon University
Carnegie Mellon University
Carnegie Mellon University
Carnegie Mellon University
Carnegie Mellon University