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RT-1: Robotics Transformer for Real-World Control at Scale [PDF]
Robotics: Science and Systems, 2022 By transferring knowledge from large, diverse, task-agnostic datasets, modern machine learning models can solve specific downstream tasks either zero-shot or with small task-specific datasets to a high level of performance. While this capability has been
Anthony Brohan +50 more
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ChatGPT for Robotics: Design Principles and Model Abilities [PDF]
IEEE Access, 2023 This paper presents an experimental study regarding the use of OpenAI’s ChatGPT for robotics applications. We outline a strategy that combines design principles for prompt engineering and the creation of a high-level function library which allows ChatGPT
Sai H. Vemprala +3 more
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Language-Driven Representation Learning for Robotics [PDF]
Robotics: Science and Systems, 2023 Recent work in visual representation learning for robotics demonstrates the viability of learning from large video datasets of humans performing everyday tasks.
Siddharth Karamcheti +6 more
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Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning [PDF]
Annu. Rev. Control. Robotics Auton. Syst., 2021 The last half decade has seen a steep rise in the number of contributions on safe learning methods for real-world robotic deployments from both the control and reinforcement learning communities. This article provides a concise but holistic review of the
Lukas Brunke +6 more
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A review of cuspidal serial and parallel manipulators [PDF]
Journal of Mechanisms and Robotics, American Society of Mechanical
Engineers, 2022, pp.1-37, 2022 Cuspidal robots can move from one inverse or direct kinematic solution to another without ever passing through a singularity. These robots have remained unknown because almost all industrial robots do not have this feature. However, in fact, industrial robots are the exceptions.
arxiv +1 more source
ACS Nano, 2023 Soft robotics is an exciting field of science and technology that enables robots to manipulate objects with human-like dexterity. Soft robots can handle delicate objects with care, access remote areas, and offer realistic feedback on their handling ...
Chidanand Hegde +5 more
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Acknowledgment to Reviewers of Robotics in 2020
Robotics, 2021 Peer review is the driving force of journal development, and reviewers are gatekeepers who ensure that Robotics maintains its standards for the high quality of its published papers [...]
Robotics Editorial Office
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Acknowledgment to the Reviewers of Robotics in 2022
Robotics, 2023 High-quality academic publishing is built on rigorous peer review [...]
Robotics Editorial Office
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A decade retrospective of medical robotics research from 2010 to 2020
Science Robotics, 2021 Description Eighty percent of medical robotics papers have been published in the past decade—What has been accomplished? Robotics is a forward-looking discipline. Attention is focused on identifying the next grand challenges.
P. Dupont +8 more
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Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics
Advances in Materials, 2021 Medical robots are invaluable players in non‐pharmaceutical treatment of disabilities. Particularly, using prosthetic and rehabilitation devices with human–machine interfaces can greatly improve the quality of life for impaired patients. In recent years,
Wenzheng Heng, Samuel A. Solomon, W. Gao
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