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20182026
most citedChatGPT for Robotics: Design Principles and Model Abilities

90 citations · 175 across the 26 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.RO2023★ 1 cited

GRID: A Platform for General Robot Intelligence Development

Sai Vemprala, Shuhang Chen, Abhinav Shukla +2

Developing machine intelligence abilities in robots and autonomous systems is an expensive and time consuming process. Existing solutions are tailored to specific applications and…

cs.CV2023

EvDNeRF: Reconstructing Event Data with Dynamic Neural Radiance Fields

Anish Bhattacharya, Ratnesh Madaan, Fernando Cladera +7

We present EvDNeRF, a pipeline for generating event data and training an event-based dynamic NeRF, for the purpose of faithfully reconstructing eventstreams on scenes with rigid an…

cs.AI2023★ 90 cited

ChatGPT for Robotics: Design Principles and Model Abilities

Sai Vemprala, Rogerio Bonatti, Arthur Bucker +1

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 engineer…

cs.AI2023★ 1 cited

Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training

Yao Wei, Yanchao Sun, Ruijie Zheng +7

We introduce DualMind, a generalist agent designed to tackle various decision-making tasks that addresses challenges posed by current methods, such as overfitting behaviors and dep…

cs.RO2023

ConBaT: Control Barrier Transformer for Safe Policy Learning

Yue Meng, Sai Vemprala, Rogerio Bonatti +2

Large-scale self-supervised models have recently revolutionized our ability to perform a variety of tasks within the vision and language domains. However, using such models for aut…