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20162025
most citedAssistive Relative Pose Estimation for On-orbit Assembly using Convolutional Neural Networks

18 citations · 34 across the 10 of their papers we have counts for

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15 papers · 1 filter

cs.RO2025

TwinTrack: Bridging Vision and Contact Physics for Real-Time Tracking of Unknown Objects in Contact-Rich Scenes

Wen Yang, Zhixian Xie, Yiting Wang +4

Real-time tracking of previously unseen, highly dynamic objects in contact-rich scenes, such as during dexterous in-hand manipulation, remains a major challenge. Pure vision-based…

cs.RO2025

SAS-Prompt: Large Language Models as Numerical Optimizers for Robot Self-Improvement

Heni Ben Amor, Laura Graesser, Atil Iscen +7

We demonstrate the ability of large language models (LLMs) to perform iterative self-improvement of robot policies. An important insight of this paper is that LLMs have a built-in…

cs.RO2024

Repairing Neural Networks for Safety in Robotic Systems using Predictive Models

Keyvan Majd, Geoffrey Clark, Georgios Fainekos +1

This paper introduces a new method for safety-aware robot learning, focusing on repairing policies using predictive models. Our method combines behavioral cloning with neural netwo…

cs.RO2024

A Comparison of Imitation Learning Algorithms for Bimanual Manipulation

Michael Drolet, Simon Stepputtis, Siva Kailas +4

Amidst the wide popularity of imitation learning algorithms in robotics, their properties regarding hyperparameter sensitivity, ease of training, data efficiency, and performance h…

cs.RO20222 cited

Modularity through Attention: Efficient Training and Transfer of Language-Conditioned Policies for Robot Manipulation

Yifan Zhou, Shubham Sonawani, Mariano Phielipp +2

Language-conditioned policies allow robots to interpret and execute human instructions. Learning such policies requires a substantial investment with regards to time and compute re…

cs.RO2021

Multimodal Data Fusion for Power-On-and-Go Robotic Systems in Retail

Shubham Sonawani, Kailas Maneparambil, Heni Ben Amor

Robotic systems for retail have gained a lot of attention due to the labor-intensive nature of such business environments. Many tasks have the potential to be automated via intelli…