activity
20212023
most citedEnhancing scientific exploration of the deep sea through shared autonomy in remote manipulation

20 citations · 40 across the 11 of their papers we have counts for

collaborators

11 papers

cs.RO2023★ 20 cited

Enhancing scientific exploration of the deep sea through shared autonomy in remote manipulation

Amy Phung, Gideon Billings, Andrea F. Daniele +2

Shared autonomy enables novice remote users to conduct deep-ocean science operations with robotic manipulators.

cs.RO2023★ 8 cited

Statler: State-Maintaining Language Models for Embodied Reasoning

Takuma Yoneda, Jiading Fang, Peng Li +7

There has been a significant research interest in employing large language models to empower intelligent robots with complex reasoning. Existing work focuses on harnessing their ab…

cs.LG2023

Active Policy Improvement from Multiple Black-box Oracles

Xuefeng Liu, Takuma Yoneda, Chaoqi Wang +2

Reinforcement learning (RL) has made significant strides in various complex domains. However, identifying an effective policy via RL often necessitates extensive exploration. Imita…

cs.RO2023★ 1 cited

To the Noise and Back: Diffusion for Shared Autonomy

Takuma Yoneda, Luzhe Sun, Ge Yang +2

Shared autonomy is an operational concept in which a user and an autonomous agent collaboratively control a robotic system. It provides a number of advantages over the extremes of…

cs.RO2022★ 1 cited

N-LIMB: Neural Limb Optimization for Efficient Morphological Design

Charles Schaff, Matthew R. Walter

A robot's ability to complete a task is heavily dependent on its physical design. However, identifying an optimal physical design and its corresponding control policy is inherently…

cs.RO2022★ 2 cited

Soft Robots Learn to Crawl: Jointly Optimizing Design and Control with Sim-to-Real Transfer

Charles Schaff, Audrey Sedal, Matthew R. Walter

This work provides a complete framework for the simulation, co-optimization, and sim-to-real transfer of the design and control of soft legged robots. The compliance of soft robots…

cs.RO2021★ 1 cited

Towards Automated Sample Collection and Return in Extreme Underwater Environments

Gideon Billings, Matthew Walter, Oscar Pizarro +2

In this report, we present the system design, operational strategy, and results of coordinated multi-vehicle field demonstrations of autonomous marine robotic technologies in searc…

cs.LG2021

Invariance Through Latent Alignment

Takuma Yoneda, Ge Yang, Matthew R. Walter +1

A robot's deployment environment often involves perceptual changes that differ from what it has experienced during training. Standard practices such as data augmentation attempt to…

cs.RO2021★ 2 cited

Real Robot Challenge: A Robotics Competition in the Cloud

Stefan Bauer, Felix Widmaier, Manuel Wüthrich +39

Dexterous manipulation remains an open problem in robotics. To coordinate efforts of the research community towards tackling this problem, we propose a shared benchmark. We designe…

cs.RO2021★ 1 cited

Language Understanding for Field and Service Robots in a Priori Unknown Environments

Matthew R. Walter, Siddharth Patki, Andrea F. Daniele +7

Contemporary approaches to perception, planning, estimation, and control have allowed robots to operate robustly as our remote surrogates in uncertain, unstructured environments. T…

cs.RO2021★ 4 cited

Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation

Niklas Funk, Charles Schaff, Rishabh Madan +10

Dexterous manipulation is a challenging and important problem in robotics. While data-driven methods are a promising approach, current benchmarks require simulation or extensive en…