Search Results - "Varley, Jake"
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1
Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning
Published in 2022 International Conference on Robotics and Automation (ICRA) (23-05-2022)“…Action representation is an important yet often overlooked aspect in end-to-end robot learning with deep networks. Choosing one action space over another (e.g…”
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Conference Proceeding -
2
Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based Reinforcement Learning
Published in 2023 IEEE International Conference on Robotics and Automation (ICRA) (29-05-2023)“…We consider how to most efficiently leverage teleoperator time to collect data for learning robust image-based value functions and policies for sparse reward…”
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Conference Proceeding -
3
Embodied AI with Two Arms: Zero-shot Learning, Safety and Modularity
Published 04-04-2024“…We present an embodied AI system which receives open-ended natural language instructions from a human, and controls two arms to collaboratively accomplish…”
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Journal Article -
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Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based Reinforcement Learning
Published 05-10-2022“…We consider how to most efficiently leverage teleoperator time to collect data for learning robust image-based value functions and policies for sparse reward…”
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Journal Article -
5
Teleoperator Imitation with Continuous-time Safety
Published 23-05-2019“…Learning to effectively imitate human teleoperators, with generalization to unseen and dynamic environments, is a promising path to greater autonomy enabling…”
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Journal Article -
6
SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention
Published in 2024 IEEE International Conference on Robotics and Automation (ICRA) (13-05-2024)“…We present Self-Adaptive Robust Attention for Robotics Transformers (SARA-RT): a new paradigm for addressing the emerging challenge of scaling up Robotics…”
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Conference Proceeding -
7
Implicit Kinematic Policies: Unifying Joint and Cartesian Action Spaces in End-to-End Robot Learning
Published 03-03-2022“…Action representation is an important yet often overlooked aspect in end-to-end robot learning with deep networks. Choosing one action space over another (e.g…”
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Journal Article -
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SARA-RT: Scaling up Robotics Transformers with Self-Adaptive Robust Attention
Published 04-12-2023“…We present Self-Adaptive Robust Attention for Robotics Transformers (SARA-RT): a new paradigm for addressing the emerging challenge of scaling up Robotics…”
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Journal Article -
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How to Prompt Your Robot: A PromptBook for Manipulation Skills with Code as Policies
Published in 2024 IEEE International Conference on Robotics and Automation (ICRA) (13-05-2024)“…Large Language Models (LLMs) have demonstrated the ability to perform semantic reasoning, planning and write code for robotics tasks. However, most methods…”
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Conference Proceeding -
10
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners
Published 04-07-2023“…Large language models (LLMs) exhibit a wide range of promising capabilities -- from step-by-step planning to commonsense reasoning -- that may provide utility…”
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Journal Article -
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Task level hierarchical system for BCI-enabled shared autonomy
Published in 2017 IEEE-RAS 17th International Conference on Humanoid Robotics (Humanoids) (01-11-2017)“…This paper describes a novel hierarchical system for shared control of a humanoid robot. Our framework uses a low-bandwidth Brain Computer Interface (BCI) to…”
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Conference Proceeding -
12
Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation
Published 22-09-2022“…Despite decades of research, existing navigation systems still face real-world challenges when deployed in the wild, e.g., in cluttered home environments or in…”
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13
Hybrid Random Features
Published 08-10-2021“…We propose a new class of random feature methods for linearizing softmax and Gaussian kernels called hybrid random features (HRFs) that automatically adapt the…”
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14
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills
Published 15-04-2021“…We consider the problem of learning useful robotic skills from previously collected offline data without access to manually specified rewards or additional…”
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15
Time Dependence in Non-Autonomous Neural ODEs
Published 04-05-2020“…Neural Ordinary Differential Equations (ODEs) are elegant reinterpretations of deep networks where continuous time can replace the discrete notion of depth,…”
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Journal Article