Autonomy in physical human-robot interaction: A brief survey

M Selvaggio, M Cognetti, S Nikolaidis… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
Sharing the control of a robotic system with an autonomous controller allows a human to
reduce his/her cognitive and physical workload during the execution of a task. In recent …

Embodied communication: How robots and people communicate through physical interaction

A Kalinowska, PM Pilarski… - Annual review of control …, 2023 - annualreviews.org
Early research on physical human–robot interaction (pHRI) has necessarily focused on
device design—the creation of compliant and sensorized hardware, such as exoskeletons …

Evaluating human-language model interaction

M Lee, M Srivastava, A Hardy, J Thickstun… - arXiv preprint arXiv …, 2022 - arxiv.org
Many real-world applications of language models (LMs), such as writing assistance and
code autocomplete, involve human-LM interaction. However, most benchmarks are non …

No, to the right: Online language corrections for robotic manipulation via shared autonomy

Y Cui, S Karamcheti, R Palleti, N Shivakumar… - Proceedings of the …, 2023 - dl.acm.org
Systems for language-guided human-robot interaction must satisfy two key desiderata for
broad adoption: adaptivity and learning efficiency. Unfortunately, existing instruction …

: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning

R Zheng, X Wang, Y Sun, S Ma… - Advances in …, 2024 - proceedings.neurips.cc
Despite recent progress in reinforcement learning (RL) from raw pixel data, sample
inefficiency continues to present a substantial obstacle. Prior works have attempted to …

Learning latent actions to control assistive robots

DP Losey, HJ Jeon, M Li, K Srinivasan, A Mandlekar… - Autonomous …, 2022 - Springer
Assistive robot arms enable people with disabilities to conduct everyday tasks on their own.
These arms are dexterous and high-dimensional; however, the interfaces people must use …

Physically assistive robots: A systematic review of mobile and manipulator robots that physically assist people with disabilities

A Nanavati, V Ranganeni… - Annual Review of Control …, 2023 - annualreviews.org
More than 1 billion people in the world are estimated to experience significant disability.
These disabilities can impact people's ability to independently conduct activities of daily …

Still not solved: A call for renewed focus on user-centered teleoperation interfaces

DJ Rea, SH Seo - Frontiers in Robotics and AI, 2022 - frontiersin.org
Teleoperation is one of the oldest applications of human-robot interaction, yet decades later,
robots are still difficult to control in a variety of situations, especially when used by non …

Core challenges in embodied vision-language planning

J Francis, N Kitamura, F Labelle, X Lu, I Navarro… - Journal of Artificial …, 2022 - jair.org
Recent advances in the areas of multimodal machine learning and artificial intelligence (AI)
have led to the development of challenging tasks at the intersection of Computer Vision …

A quality diversity approach to automatically generating human-robot interaction scenarios in shared autonomy

M Fontaine, S Nikolaidis - arXiv preprint arXiv:2012.04283, 2020 - arxiv.org
The growth of scale and complexity of interactions between humans and robots highlights
the need for new computational methods to automatically evaluate novel algorithms and …