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Communications of the ACM, 2017 Healthcare robotics can provide health and wellness support to billions of people.
Riek, Laurel D.
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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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Foundation models in robotics: Applications, challenges, and the future [PDF]
Int. J. Robotics Res., 2023 We survey applications of pretrained foundation models in robotics. Traditional deep learning models in robotics are trained on small datasets tailored for specific tasks, which limits their adaptability across diverse applications.
Roya Firoozi +14 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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Trust in Robot–Robot Scaffolding
IEEE Transactions on Cognitive and Developmental Systems, 2023 The study of robot trust in humans and other agents is not explored widely despite its importance for the near future human-robot symbiotic societies. Here, we propose that robots should trust partners that tend to reduce their computational load, which is analogous to human cognitive load.
Murat Kirtay +3 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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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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Handover Control for Human-Robot and Robot-Robot Collaboration [PDF]
Frontiers in Robotics and AI, 2021 Modern scenarios in robotics involve human-robot collaboration or robot-robot cooperation in unstructured environments. In human-robot collaboration, the objective is to relieve humans from repetitive and wearing tasks. This is the case of a retail store, where the robot could help a clerk to refill a shelf or an elderly customer to pick an item from ...
Costanzo M., De Maria G., Natale C.
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Acknowledgment to Reviewers of Robotics in 2021
Robotics, 2022 Rigorous peer-reviews are the basis of high-quality academic publishing [...]
Robotics Editorial Office
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