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 [...]
Carnegie Mellon University
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. [...]
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 [...]
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 [...]
Carnegie Mellon University
Towards Modular and Differentiable Autonomous Driving
Abstract: The classical "modular and cascaded" autonomy stack (object detection, tracking, trajectory prediction, then planning and control) has been widely used for interactive autonomous systems such as self-driving cars due to its interpretability and fast development cycle. In this thesis, we advocate the use of such a modular stack but improve its accuracy and robustness [...]
Carnegie Mellon University
Towards reconstructing non-rigidity from single camera
Abstract: In this proposal, we study how to infer 3D from images captured by a single camera, without assuming the target scenes / objects being static. The non-static setting makes our problem ill-posed and challenging to solve, but is vital in practical applications where target-of-interest is non-static. To solve ill-posed problems, the current trend in [...]
Carnegie Mellon University
Control Input and Natural Gaze for Goal Prediction in Shared Control
Abstract: Teleoperated systems are used widely in deployed robots today, for such tasks as space exploration, disaster recovery, or assisted manipulation. However, teleoperated systems are difficult to control, especially when performing high-dimensional, contact-rich tasks like manipulation. One approach to ease teleoperated manipulation is shared control; this strategy combines the user's direct control input with an [...]
Forecasting from LiDAR via Future Object Detection
Abstract: Object detection and forecasting are fundamental components of embodied perception. These two problems, however, are largely studied in isolation by the community. In this paper, we propose an end-to-end approach for detection and motion forecasting based on raw sensor measurement as opposed to ground truth tracks. Instead of predicting the current frame locations and [...]
Details to Follow . . .
Details to Follow . . .
Efficient 3D Representations: Algebraic Surfaces for Differentiable Rendering
Abstract: In this proposal, we show how some classic computer vision tasks can robustly be solved via optimization techniques by using an object representation that is compact and interpretable. Specifically, we explore the applications and benefits of representing 3D objects with an analytical, algebraic function by building an approximate, ray-based differentiable renderer. Our approximate formulation [...]
Carnegie Mellon University
Liquid Metal Actuators
Abstract: This thesis contributes to the field of soft actuators by introducing a generalized framework of actuators from liquid metals. The evolution of robotic actuators has enabled robots to achieve a diversity of motions. Like natural muscles, which converts chemical energy into mechanical work in response to electrical stimuli from the nervous system, actuators are [...]
Continual Robot Learning: Benchmarks and Modular Methods
Zoom Meeting Passcode: 841755 Abstract: The earliest reinforcement learning models were designed to learn one task, specified up-front. However, an agent operating freely in the real world will not in general be granted this luxury, as the demands placed on the agent may change as environments or goals change. We refer to this ever-shifting scenario [...]
Carnegie Mellon University
MSR Thesis Talk: Yash Oza
Title: Preprocessing-based Methods for Robotic Manipulation Abstract: Robotic manipulation is a key problem for several applications such as welding, pick-and-place, and automated assembly. However, motion planning for manipulation can be computationally expensive as it requires planning in the high-dimensional configuration space of the manipulator. Additionally, task-specific constraints such as strict time limits or constraints on end-effector [...]
Five Traps for Robots in Human Environments….And How to Avoid Them
Abstract: Robotics today is moving beyond fixed environments and into human spaces like homes, restaurants, and hospitals. In these new spaces, robots will necessarily have to interact with people. In some sense, every recent robotics problem is partly a human-robot interaction problem. Thus, the field of HRI can offer insights to the broader robotics community [...]
MSR Thesis Talk: Ingrid Navarro Anaya
Title: Socially-Aware Trajectory Prediction Guided by Motion Patterns Abstract: As intelligent robots across domains start collaborating with humans in shared environments, e.g., urban settings and terminal airspace, algorithms that enable them to reason over human motion and intent are important to enable seamless and safe interplay. In our work, we study human intent by focusing on the [...]
Carnegie Mellon University
MSR Thesis Talk: Qichen Fu
Date: Tuesday, July 19, 2022 Time: 9:00 AM - 10:00 AM ET Location: Newell-Simon Hall (NSH) 3305 Title: Detect Active Object in a Sequential Voting Process Abstract: A key component of understanding hand-object interactions is the ability to identify the active object -- the object that is being manipulated by the human hand. In order to accurately localize the [...]
Carnegie Mellon University
MSR Thesis Talk: Ruohai Ge
Title: Real-Time Visual Localization System in Changing and Challenging Environments via Visual Place Recognition Abstract: Localization is one of the fundamental capabilities to guarantee reliable robot autonomy. Many excellent Visual-Inertial and LiDAR-based algorithms have been developed to solve the localization problem. However, deploying these methods on a real-time portable device is challenging due to high [...]
TechCrunch Sessions: Robotics 2022
Matt Johnson-Roberson will be one of the featured speakers in TC Sessions: Robotics 2022 on Thursday, July 21. You can register and stream for free! From the TechCrunch event site: Where Minds Meet Machines: The Future of Robotics Rapid advances in robotics technology continue to change the way businesses compete — and how people work [...]
Carnegie Mellon University
MSR Thesis Talk – Zixuan Huang
Title: Seeing the Unseen: Closed-loop Occlusion Reasoning for Cloth Manipulation Robotic manipulation of cloth remains challenging due to the complex dynamics of cloth, lack of a low-dimensional state representation, and self-occlusions. Particularly, self-occlusion makes it difficult to estimate the full state of the cloth, which poses significant challenges to policy learning and dynamics modeling. Ideally, [...]
Carnegie Mellon University
MSR Thesis Talk – Zhaoyuan Fang
Title: Features in Extra Dimensions: Spatial and Temporal Scene Representations Abstract: Computer vision models have made great progress in featurizing pixels of images. However, an image is only a projection of the actual 3D scene: occlusions and perspective distortions exist. To arrive at a better representation of the scene itself, extra dimensions are needed to [...]
Carnegie Mellon University
MSR Thesis Talk – Yunchu Zhang
Title: Library of behaviors and tools for robot manipulation Abstract: Learned policies often fail to generalize across environment variations, such as, different objects, object arrangements, or camera viewpoints. Moreover, most policies are trained and tested in simulation environments, and the sim2real gap remains large under weak visual representations that do not disentangle the scene from [...]
Carnegie Mellon University
Learning Structured World Model for Deformable Object Manipulation
Abstract: Manipulation of deformable objects challenges common assumptions in robotic manipulation, such as low-dimension state representation, known dynamics, and minimal occlusion. Deformable objects have high intrinsic state representation, complex dynamics with high degrees of freedom, and severe self-occlusion. These properties make them difficult for state estimation and planning. In this thesis, we introduce benchmarks and [...]
Safe control under input limits with neural CBF
Abstract: In theory, control barrier functions (CBFs) provide a convenient means to construct provably safe controllers. However, a typical problem is that the constructed controller will exceed input limits, and merely clipping the inputs will break all safety guarantees. To address this practical flaw, we consider synthesizing a CBF that will respect input limits. We [...]
Carnegie Mellon University
MSR Thesis Talk – Chi Yen Lee
Title: Enhancing Quadruped Locomotion Stability with Reaction Wheel Systems and Model Predictive Control Zoom: https://cmu.zoom.us/j/96808397411?pwd=YnFDaFk1WVVyZjc5UndlOTBZL0tjUT09 Abstract: The development of quadruped robots offers a mobility solution that allows robot agents to navigate complicated terrains, making them extremely versatile robots in a variety of environments. Today, there are a number of research challenges facing quadruped development. First, the [...]
MSR Thesis Talk – Chu Er Pan
Title: 6D Object Pose Estimation for Manipulation via Weak Supervision Abstract: 6D object pose estimation is essential for robotic manipulation tasks. Existing learning-based pose estimators often rely on training from labeled absolute poses with fixed object canonical frames, which (1) requires datasets with annotations of object absolute pose that are resource-intensive to collect; (2) is hard [...]
Carnegie Mellon University
MSR Thesis Talk: Ruoyang Xu
Title: Using 3D Imaging Radar for Indoor Localization and Mapping Zoom: https://cmu.zoom.us/j/95090884062?pwd=dVZDVHJDTGVUWW9iSlJLTWtidThBUT09 Meeting ID: 950 9088 4062 Passcode: 411959 Abstract: 3D Imaging Radars offer robust perception capability through visually demanding environments due to the unique penetrative and reflective properties of millimeter waves. However, the utilization of Imaging radar for robot navigation and mapping remains under-explored due [...]
Carnegie Mellon University
MSR Thesis Talk: Gaurav Pathak
Title: Programmable light curtains for Safety Envelopes, SLAM and Navigation Abstract: Conventional robot perception and navigation pipelines are built using traditional sensors such as RGB cameras, stereo depth sensors and LiDARs.These sensors scan the entire scene in a fixed and uniform way. In contrast, programmable light curtains are a recently-invented, resource-efficient sensor that measure the [...]
Carnegie Mellon University
MSR Thesis Talk: Andrew VanOsten
Title: Lidar-Visual-Inertial Odometry via Modifications and Improvements to Super Odometry Abstract: The main focus of this thesis involves improvements and extensions to Super Odometry, a preexisting method for lidar-inertial odometry. This was done in the context of the DARPA RACER program as a member of Carnegie Mellon's DEAD Fast team, aiming to provide reliable [...]
Carnegie Mellon University
MSR Thesis Talk – Bassam Bikdash
Title: Boundary-Aware Demons Algorithm with Applications in Electronic Waste Recycling Abstract Electronic waste (e-waste) refers to electronic devices that are nearing the end of their useful life, and are discarded, donated, or given away. Valuable metallic and plastic components in e-waste (gold, silver, platinum) is estimated to value upwards of $60 billion and although e-waste represents [...]
Carnegie Mellon University
MSR Thesis Talk – Mary Hatfalvi
Title: Introspective Perception through Identifying Blur, Light Direction, and Angle-of-View Abstract Robotic perception tasks have achieved great performance, especially in autonomous vehicles and robot assistance. However, we still often do not understand how and when perception tasks fail. Researchers have achieved some success in creating introspective perception systems that detect when perception tasks will fail, [...]
Carnegie Mellon University
MSR Thesis Talk: Bowei Chen
Title: Image Synthesis with Appearance Decomposition Abstract: Our visual world is compositional and its appearance can be decomposed into various components. Leveraging these components can be beneficial for challenging image synthesis tasks. To this end, this thesis focuses on studying how appearance decomposition can improve image synthesis methods using two examples. (1) Structural decomposition: we introduce [...]
MSR Thesis Talk: Ivan Cisneros
Title: A VPR-Based Technique for UAV Localization In Unseen Environments Abstract: Unmanned Aerial Vehicles (UAVs) primarily rely on GPS-assisted localization and navigation due to the accessibility and ubiquity of such systems. However, this presents a potentially catastrophic single point of failure that may prevent autonomous UAVs from becoming truly reliable, as GPS is prone to dropout, [...]
MSR Thesis Talk: Yehonathan Litman
Title: GPS-Denied Global Visual-Inertial Ground Vehicle State Estimation via Image Registration Abstract: Robotic systems such as unmanned ground vehicles (UGVs) often depend on GPS for navigation in outdoor environments. In GPS-denied environments, one approach to maintain a global state estimate is localizing based on preexisting georeferenced aerial or satellite imagery. However, this is inherently challenged [...]
Carnegie Mellon University
MSR Thesis Talk – George Cazenavette
Title: Learning to Distill Datasets by Matching Expert Training Trajectories Project Page: https://georgecazenavette.github.io/mtt-distillation/ Abstract: Dataset distillation is the task of synthesizing a small dataset such that a model trained on the synthetic set will match the test accuracy of the model trained on the full dataset. In this talk, we review 3 several of our recent [...]