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06/16/2023
Learning to Summarize and Answer Questions about a Virtual Robot's Past Actions
When robots perform long action sequences, users will want to easily and...
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05/26/2023
IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality
Robotic assembly is a longstanding challenge, requiring contact-rich int...
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05/07/2022
Factory: Fast Contact for Robotic Assembly
Robotic assembly is one of the oldest and most challenging applications ...
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03/31/2022
Model Predictive Control for Fluid Human-to-Robot Handovers
Human-robot handover is a fundamental yet challenging task in human-robo...
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12/09/2021
Assistive Tele-op: Leveraging Transformers to Collect Robotic Task Demonstrations
Sharing autonomy between robots and human operators could facilitate dat...
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09/21/2021
Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior
Classical mechanical systems are central to controller design in energy ...
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03/26/2021
Visionary: Vision architecture discovery for robot learning
We propose a vision-based architecture search algorithm for robot manipu...
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03/24/2021
CLAMGen: Closed-Loop Arm Motion Generation via Multi-view Vision-Based RL
We propose a vision-based reinforcement learning (RL) approach for close...
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03/18/2021
Dynamic Grasping with Reachability and Motion Awareness
Grasping in dynamic environments presents a unique set of challenges. A ...
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08/11/2020
Maximizing BCI Human Feedback using Active Learning
Recent advancements in Learning from Human Feedback present an effective...
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02/21/2020
Learning Precise 3D Manipulation from Multiple Uncalibrated Cameras
In this work, we present an effective multi-view approach to closed-loop...
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10/01/2019
Accelerated Robot Learning via Human Brain Signals
In reinforcement learning (RL), sparse rewards are a natural way to spec...
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09/10/2019
MAT: Multi-Fingered Adaptive Tactile Grasping via Deep Reinforcement Learning
Vision-based grasping systems typically adopt an open-loop execution of ...
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03/08/2019
Pixel-Attentive Policy Gradient for Multi-Fingered Grasping in Cluttered Scenes
Recent advances in on-policy reinforcement learning (RL) methods enabled...
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06/29/2018