机器人 / 具身智能

NccFlow: Unsupervised Learning of Optical Flow With Non-occlusion from Geometry

Guangming Wang, Shuaiqi Ren, Hesheng Wang

专题命中 机器人学习 ：robot learning(abstract)；分类 cs.CV

Comments 10 pages, 7 figures, under review

RAPTOR: End-to-end Risk-Aware MDP Planning and Policy Learning by Backpropagation

Noah Patton, Jihwan Jeong, Michael Gimelfarb, Scott Sanner

专题命中 机器人学习 ：navigation(abstract)；分类 cs.LG

General Robot Dynamics Learning and Gen2Real

Dengpeng Xing, Jiale Li, Yiming Yang, Bo Xu

专题命中 机器人学习 ：robot learning(abstract)；分类 cs.RO

Comments On posting to RSS

SA-Net: Deep Neural Network for Robot Trajectory Recognition from RGB-D Streams

Nihal Soans, Ehsan Asali, Yi Hong, Prashant Doshi

专题命中 机器人学习 ：robotic(abstract)；分类 cs.RO

Comments (in press)

Journal ref ICRA 2020, pp. 2153-2159

Maximizing BCI Human Feedback using Active Learning

Zizhao Wang, Junyao Shi, Iretiayo Akinola, Peter Allen

专题命中 机器人学习 ：robot learning(abstract)；分类 cs.RO

Comments IROS 2020

Algorithmic Design for Embodied Intelligence in Synthetic Cells

Ana Pervan, Todd D. Murphey

专题命中 机器人学习 ：robotics(abstract)；分类 cs.RO

Time Efficiency in Optimization with a Bayesian-Evolutionary Algorithm

Gongjin Lan, Jakub M. Tomczak, Diederik M. Roijers, A. E. Eiben

专题命中 机器人学习 ：robot learning(abstract)；分类 cs.AI

Comments 13 pages, 10 Figures

Investigating the Effects of Robot Engagement Communication on Learning from Demonstration

Mingfei Sun, Zhenhui Peng, Meng Xia, Xiaojuan Ma

专题命中 机器人学习 ：robot learning(abstract)；分类 cs.RO

Comments Under review

Incremental Skill Learning of Stable Dynamical Systems

Matteo Saveriano, Dongheui Lee

专题命中 机器人学习 ：robotic(abstract)；分类 cs.RO

Fast and Safe Path-Following Control using a State-Dependent Directional Metric

Zhichao Li, Omur Arslan, Nikolay Atanasov

专题命中 机器人学习 ：navigation(abstract)；分类 cs.RO

Trajectory optimization for a class of robots belonging to Constrained Collaborative Mobile Agents (CCMA) family

Nitish Kumar, Stelian Coros

专题命中 机器人学习 ：manipulation(abstract)；分类 cs.RO

Comments 8 pages

Cubic LSTMs for Video Prediction

Hehe Fan, Linchao Zhu, Yi Yang

专题命中 机器人学习 ：robot learning(abstract)；分类 cs.CV

Comments Accepted to AAAI-2019

Learning from Extrapolated Corrections

Jason Y. Zhang, Anca D. Dragan

专题命中 机器人学习 ：robot learning(abstract)；分类 cs.RO

Unsupervised Trajectory Segmentation and Promoting of Multi-Modal Surgical Demonstrations

Zhenzhou Shao, Hongfa Zhao, Jiexin Xie, Ying Qu, Yong Guan, Jindong Tan

专题命中 机器人学习 ：robot learning(abstract)；分类 cs.CV

Comments 7 pages, 6 figures

Learning convex bounds for linear quadratic control policy synthesis

Jack Umenberger, Thomas B. Schön

专题命中 机器人学习 ：robotics(abstract)；分类 cs.LG

Scalable Co-Optimization of Morphology and Control in Embodied Machines

Nick Cheney, Josh Bongard, Vytas SunSpiral, Hod Lipson

专题命中 机器人学习 ：robotics(abstract)；分类 cs.AI

Multi-stage Suture Detection for Robot Assisted Anastomosis based on Deep Learning

Yang Hu, Yun Gu, Jie Yang, Guang-Zhong Yang

专题命中 机器人学习 ：robotic(abstract)；分类 cs.CV

Comments Submitted to ICRA 2018

Interactive Learning of State Representation through Natural Language Instruction and Explanation

Qiaozi Gao, Lanbo She, Joyce Y. Chai

专题命中 机器人学习 ：robot learning(abstract)；分类 cs.AI

Robot Composite Learning and the Nunchaku Flipping Challenge

Leidi Zhao, Yiwen Zhao, Siddharth Patil, Dylan Davies, Cong Wang, Lu Lu, Bo Ouyang

专题命中 机器人学习 ：robot learning(abstract)；分类 cs.RO

Recurrent Residual Learning for Action Recognition

Ahsan Iqbal, Alexander Richard, Hilde Kuehne, Juergen Gall

专题命中 机器人学习 ：robot learning(abstract)；分类 cs.CV

Policy Learning with Hypothesis based Local Action Selection

Bharath Sankaran, Jeannette Bohg, Nathan Ratliff, Stefan Schaal

专题命中 机器人学习 ：manipulation(abstract)；分类 cs.RO

Comments RLDM abstract

Learning of Agent Capability Models with Applications in Multi-agent Planning

Yu Zhang, Subbarao Kambhampati

专题命中 机器人学习 ：robot learning(abstract)；分类 cs.AI

Learning Constraints from Demonstrations

从示范中学习约束

Glen Chou, Dmitry Berenson, Necmiye Ozay

机构 * Dept. of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, 48109, USA（电气工程与计算机科学系，密歇根大学，安娜堡，MI，48109，美国） 纠错

专题命中 机器人学习 ：分类 cs.RO、cs.AI、cs.LG；robotics(comments)

AI总结 该研究提出了一种从示范中学习未知约束的方法，通过任务示范、成本函数和系统动力学与控制约束，利用hit-and-run采样获取低成本但不安全的轨迹，并通过整数规划获得一致的不安全集表示，同时理论分析了可从安全示范中学习的约束子集。

Comments Presented at the Workshop on the Algorithmic Foundations of Robotics (WAFR), 2018, Mérida, Mexico

KoopMotion: Learning Almost Divergence Free Koopman Flow Fields for Motion Planning

Alice Kate Li, Thales C Silva, Victoria Edwards, Vijay Kumar, M. Ani Hsieh

机构 * GRASP Laboratory University of Pennsylvania（GRASP实验室 大学） 纠错

专题命中 机器人学习 ：分类 cs.RO、cs.AI、cs.LG；robot learning(comments)

Comments Revised with link to code. Accepted to CoRL 2025 (Conference on Robot Learning). 15 pages 11 figures

COLLAGE: Adaptive Fusion-based Retrieval for Augmented Policy Learning

Sateesh Kumar, Shivin Dass, Georgios Pavlakos, Roberto Martín-Martín

机构 * The University of Texas at Austin（德克萨斯大学奥斯汀分校） 纠错

专题命中 机器人学习 ：分类 cs.RO、cs.AI、cs.LG；robot learning(comments)

Comments Accepted at the Conference on Robot Learning (CoRL), 2025. Project page: https://robin-lab.cs.utexas.edu/COLLAGE

Multi-Agent Inverse Q-Learning from Demonstrations

Nathaniel Haynam, Adam Khoja, Dhruv Kumar, Vivek Myers, Erdem Bıyık

专题命中 机器人学习 ：分类 cs.RO、cs.AI、cs.LG；robotics(comments)

Comments 8 pages, 4 figures, 2 tables. Published at the International Conference on Robotics and Automation (ICRA) 2025

Temporal Logic Imitation: Learning Plan-Satisficing Motion Policies from Demonstrations

Yanwei Wang, Nadia Figueroa, Shen Li, Ankit Shah, Julie Shah

专题命中 机器人学习 ：分类 cs.RO、cs.AI、cs.LG；robot learning(journal_ref)

Comments CoRL 2022 Oral Talk

Journal ref Proceedings of The 6th Conference on Robot Learning (2022) PMLR 205:94-105

Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection

Mehar Khurana, Neehar Peri, James Hays, Deva Ramanan

专题命中 机器人学习 ：分类 cs.RO、cs.CV、cs.LG；robot learning(comments)

Comments The first two authors contributed equally. This work has been accepted to the Conference on Robot Learning (CoRL) 2024

Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-agent Control

Songyuan Zhang, Kunal Garg, Chuchu Fan

专题命中 机器人学习 ：robotics(abstract)；robot learning(comments)

Comments 20 pages, 10 figures; Accepted by 7th Conference on Robot Learning (CoRL 2023)

Learning from Demonstrations using Signal Temporal Logic

Aniruddh G. Puranic, Jyotirmoy V. Deshmukh, Stefanos Nikolaidis

专题命中 机器人学习 ：分类 cs.RO、cs.AI、cs.LG；robot learning(comments)

Comments Published at Conference on Robot Learning (CoRL) 2020