activity
20162024
most citedProgPrompt: Generating Situated Robot Task Plans using Large Language Models

44 citations · 345 across the 52 of their papers we have counts for

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32 papers · 1 filter

cs.RO20245 cited

RePLan: Robotic Replanning with Perception and Language Models

Marta Skreta, Zihan Zhou, Jia Lin Yuan +3

Advancements in large language models (LLMs) have demonstrated their potential in facilitating high-level reasoning, logical reasoning and robotics planning. Recently, LLMs have al…

cs.RO2024

ORGANA: A Robotic Assistant for Automated Chemistry Experimentation and Characterization

Kourosh Darvish, Marta Skreta, Yuchi Zhao +9

Chemistry experiments can be resource- and labor-intensive, often requiring manual tasks like polishing electrodes in electrochemistry. Traditional lab automation infrastructure fa…

cs.RO2023

Fast-Grasp'D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation

Dylan Turpin, Tao Zhong, Shutong Zhang +8

Multi-finger grasping relies on high quality training data, which is hard to obtain: human data is hard to transfer and synthetic data relies on simplifying assumptions that reduce…

cs.RO202318 cited

Errors are Useful Prompts: Instruction Guided Task Programming with Verifier-Assisted Iterative Prompting

Marta Skreta, Naruki Yoshikawa, Sebastian Arellano-Rubach +6

Generating low-level robot task plans from high-level natural language instructions remains a challenging problem. Although large language models have shown promising results in ge…

cs.RO20236 cited

MVTrans: Multi-View Perception of Transparent Objects

Yi Ru Wang, Yuchi Zhao, Haoping Xu +4

Transparent object perception is a crucial skill for applications such as robot manipulation in household and laboratory settings. Existing methods utilize RGB-D or stereo inputs t…

cs.RO20222 cited

NeurIPS 2022 Competition: Driving SMARTS

Amir Rasouli, Randy Goebel, Matthew E. Taylor +15

Driving SMARTS is a regular competition designed to tackle problems caused by the distribution shift in dynamic interaction contexts that are prevalent in real-world autonomous dri…