机器人 / 具身智能

VAPOR: Legged Robot Navigation in Outdoor Vegetation Using Offline Reinforcement Learning

Kasun Weerakoon, Adarsh Jagan Sathyamoorthy, Mohamed Elnoor, Dinesh Manocha

专题命中 模仿学习与强化学习 ：navigation(title,abstract)；分类 cs.RO、cs.AI

R^3: On-device Real-Time Deep Reinforcement Learning for Autonomous Robotics

Zexin Li, Aritra Samanta, Yufei Li, Andrea Soltoggio, Hyoseung Kim, Cong Liu

专题命中 模仿学习与强化学习 ：robotics(title)；robotic(abstract)；分类 cs.RO、cs.AI

Comments Accepted by RTSS 2023

A Reinforcement Learning Approach for Robotic Unloading from Visual Observations

Vittorio Giammarino, Alberto Giammarino, Matthew Pearce

专题命中 模仿学习与强化学习 ：robotic(title,abstract)；分类 cs.RO、cs.AI

Hybrid of representation learning and reinforcement learning for dynamic and complex robotic motion planning

Chengmin Zhou, Xin Lu, Jiapeng Dai, Bingding Huang, Xiaoxu Liu, Pasi Fränti

专题命中 模仿学习与强化学习 ：robotic(title,abstract)；分类 cs.RO、cs.AI

Mobility-Aware Computation Offloading for Swarm Robotics using Deep Reinforcement Learning

Xiucheng Wang, Hongzhi Guo

专题命中 模仿学习与强化学习 ：robotics(title,abstract)；分类 cs.RO、cs.LG

Journal ref 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC)

Primitive Skill-based Robot Learning from Human Evaluative Feedback

Ayano Hiranaka, Minjune Hwang, Sharon Lee, Chen Wang, Li Fei-Fei, Jiajun Wu, Ruohan Zhang

专题命中 模仿学习与强化学习 ：robot learning(title)；manipulation(abstract)；分类 cs.RO、cs.AI

Learning Robotic Ultrasound Scanning Skills via Human Demonstrations and Guided Explorations

Xutian Deng, Yiting Chen, Fei Chen, Miao Li

专题命中 模仿学习与强化学习 ：robotic(title,abstract)；分类 cs.RO、cs.AI

Robotic Packaging Optimization with Reinforcement Learning

Eveline Drijver, Rodrigo Pérez-Dattari, Jens Kober, Cosimo Della Santina, Zlatan Ajanović

专题命中 模仿学习与强化学习 ：robotic(title,abstract)；分类 cs.RO、cs.AI

Comments preprint accepted to CASE 2023 conference; 7 pages, 5 figures, 1 table;

Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning

Deyao Zhu, Li Erran Li, Mohamed Elhoseiny

专题命中 模仿学习与强化学习 ：world model(title,abstract)；分类 cs.AI、cs.LG

Deep Reinforcement Learning for Localizability-Enhanced Navigation in Dynamic Human Environments

Yuan Chen, Quecheng Qiu, Xiangyu Liu, Guangda Chen, Shunyi Yao, Jie Peng, Jianmin Ji, Yanyong Zhang

专题命中 模仿学习与强化学习 ：navigation(title,abstract)；分类 cs.RO、cs.LG

IPPO: Obstacle Avoidance for Robotic Manipulators in Joint Space via Improved Proximal Policy Optimization

Yongliang Wang, Hamidreza Kasaei

专题命中 模仿学习与强化学习 ：robotic(title,abstract)；分类 cs.RO、cs.AI

Optimal decision making in robotic assembly and other trial-and-error tasks

James Watson, Nikolaus Correll

专题命中 模仿学习与强化学习 ：robotic(title,abstract)；分类 cs.RO、cs.AI

Dependability Analysis of Deep Reinforcement Learning based Robotics and Autonomous Systems through Probabilistic Model Checking

Yi Dong, Xingyu Zhao, Xiaowei Huang

专题命中 模仿学习与强化学习 ：robotics(title,abstract)；分类 cs.RO、cs.AI

Comments Accepted by IROS2022

Robofriend: An Adpative Storytelling Robotic Teddy Bear -- Technical Report

Ido Glanz, Matan Weksler, Erez Karpas, Tzipi Horowitz-Kraus

专题命中 模仿学习与强化学习 ：robotic(title,abstract)；分类 cs.RO、cs.AI

NeuroCERIL: Robotic Imitation Learning via Hierarchical Cause-Effect Reasoning in Programmable Attractor Neural Networks

Gregory P. Davis, Garrett E. Katz, Rodolphe J. Gentili, James A. Reggia

专题命中 模仿学习与强化学习 ：robotic(title,abstract)；分类 cs.RO、cs.AI

Improving Assistive Robotics with Deep Reinforcement Learning

Yash Jakhotiya, Iman Haque

专题命中 模仿学习与强化学习 ：robotics(title,abstract)；分类 cs.RO、cs.AI

Comments Accepted to the 2022 NeurIPS Deep RL Workshop

Learning General World Models in a Handful of Reward-Free Deployments

Yingchen Xu, Jack Parker-Holder, Aldo Pacchiano, Philip J. Ball, Oleh Rybkin, Stephen J. Roberts, Tim Rocktäschel, Edward Grefenstette

专题命中 模仿学习与强化学习 ：world model(title,abstract)；分类 cs.AI、cs.LG

Comments To be published at NeurIPS 2022. Code and videos available at https://ycxuyingchen.github.io/cascade/

A Concise Introduction to Reinforcement Learning in Robotics

Akash Nagaraj, Mukund Sood, Bhagya M Patil

专题命中 模仿学习与强化学习 ：robotics(title,abstract)；分类 cs.RO、cs.AI

Comments This paper was originally written in 2019

Journal ref Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications 2021

Creating a Dynamic Quadrupedal Robotic Goalkeeper with Reinforcement Learning

Xiaoyu Huang, Zhongyu Li, Yanzhen Xiang, Yiming Ni, Yufeng Chi, Yunhao Li, Lizhi Yang, Xue Bin Peng, Koushil Sreenath

专题命中 模仿学习与强化学习 ：robotic(title)；manipulation(abstract)；分类 cs.RO、cs.AI

Comments First two authors contributed equally. Accompanying video is at https://youtu.be/iX6OgG67-ZQ

Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics

Frank Röder, Manfred Eppe, Stefan Wermter

专题命中 模仿学习与强化学习 ：robotics(title)；robotic(abstract)；分类 cs.AI、cs.LG

Comments Published at the 2022 IEEE International Conference on Development and Learning (ICDL)

Autonomous Unmanned Aerial Vehicle Navigation using Reinforcement Learning: A Systematic Review

Fadi AlMahamid, Katarina Grolinger

专题命中 模仿学习与强化学习 ：navigation(title,abstract)；分类 cs.RO、cs.AI

From Scratch to Sketch: Deep Decoupled Hierarchical Reinforcement Learning for Robotic Sketching Agent

Ganghun Lee, Minji Kim, Minsu Lee, Byoung-Tak Zhang

专题命中 模仿学习与强化学习 ：robotic(title,abstract)；分类 cs.RO、cs.CV

Comments Accepted to ICRA 2022

Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning

Homer Walke, Jonathan Yang, Albert Yu, Aviral Kumar, Jedrzej Orbik, Avi Singh, Sergey Levine

专题命中 模仿学习与强化学习 ：robotic(title,abstract)；分类 cs.RO、cs.LG

Comments 17 pages, project website at https://sites.google.com/view/ariel-berkeley/

Depth-CUPRL: Depth-Imaged Contrastive Unsupervised Prioritized Representations in Reinforcement Learning for Mapless Navigation of Unmanned Aerial Vehicles

Junior Costa de Jesus, Victor Augusto Kich, Alisson Henrique Kolling, Ricardo Bedin Grando, Rodrigo da Silva Guerra, Paulo Lilles Jorge Drews

专题命中 模仿学习与强化学习 ：navigation(title,abstract)；分类 cs.RO、cs.AI

Comments Accepted to the IEEE International Conference on Intelligent Robots and Systems (IROS) 2022

Real2Sim or Sim2Real: Robotics Visual Insertion using Deep Reinforcement Learning and Real2Sim Policy Adaptation

Yiwen Chen, Xue Li, Sheng Guo, Xian Yao Ng, Marcelo Ang

专题命中 模仿学习与强化学习 ：robotics(title,abstract)；分类 cs.RO、cs.AI

Automating Reinforcement Learning with Example-based Resets

Jigang Kim, J. hyeon Park, Daesol Cho, H. Jin Kim

专题命中 模仿学习与强化学习 ：robotics(abstract,comments)；robot learning(abstract)；robotic(abstract)；分类 cs.RO、cs.LG

Comments 8 pages, 6 figures; accepted for publication in the IEEE Robotics and Automation Letters (RA-L); source code available at https://github.com/jigangkim/autoreset_rl ; supplementary video available at https://youtu.be/himd0Z5b64A

Journal ref IEEE Robotics and Automation Letters 7 (2022) 6606-6613

Bayesian Imitation Learning for End-to-End Mobile Manipulation

Yuqing Du, Daniel Ho, Alexander A. Alemi, Eric Jang, Mohi Khansari

专题命中 模仿学习与强化学习 ：manipulation(title)；robotic(abstract)；分类 cs.RO、cs.LG

A General, Evolution-Inspired Reward Function for Social Robotics

Thomas Kingsford

专题命中 模仿学习与强化学习 ：robotics(title,abstract)；分类 cs.RO、cs.LG

Benchmarking Deep Reinforcement Learning Algorithms for Vision-based Robotics

Swagat Kumar, Hayden Sampson, Ardhendu Behera

专题命中 模仿学习与强化学习 ：robotics(title,abstract)；分类 cs.RO、cs.AI

Comments 8 pages, 9 figures, 1 table

Decentralized Global Connectivity Maintenance for Multi-Robot Navigation: A Reinforcement Learning Approach

Minghao Li, Yingrui Jie, Yang Kong, Hui Cheng

专题命中 模仿学习与强化学习 ：navigation(title,abstract)；分类 cs.RO、cs.LG

Comments 7 pages, 15 figures