机器人 / 具身智能

Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments

Tianchen Ji, Sri Theja Vuppala, Girish Chowdhary, Katherine Driggs-Campbell

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

Comments Conference on Robot Learning (CoRL) 2020

SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning

Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto

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

Comments Conference on Robot Learning (CoRL) 2020

Learning to Communicate and Correct Pose Errors

Nicholas Vadivelu, Mengye Ren, James Tu, Jingkang Wang, Raquel Urtasun

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

Comments Conference on Robot Learning (CoRL) 2020. 16 pages, 7 figures

Unsupervised Monocular Depth Learning in Dynamic Scenes

Hanhan Li, Ariel Gordon, Hang Zhao, Vincent Casser, Anelia Angelova

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

Comments Accepted at 4th Conference on Robot Learning (CoRL 2020)

Masking by Moving: Learning Distraction-Free Radar Odometry from Pose Information

Dan Barnes, Rob Weston, Ingmar Posner

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

Comments Conference on Robot Learning (CoRL), 2019. Video summary: https://youtu.be/eG4Q-j3_6dk

Automated shapeshifting for function recovery in damaged robots

Sam Kriegman, Stephanie Walker, Dylan Shah, Michael Levin, Rebecca Kramer-Bottiglio, Josh Bongard

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

Journal ref Proceedings of Robotics: Science and Systems (2019)

Learning under Misspecified Objective Spaces

Andreea Bobu, Andrea Bajcsy, Jaime F. Fisac, Anca D. Dragan

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

Comments Conference on Robot Learning (CoRL) 2018

Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation Learning

Sachit Kuhar, Shuo Cheng, Shivang Chopra, Matthew Bronars, Danfei Xu

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

Comments To appear at the 7th Annual Conference on Robot Learning (CoRL) 2023

Journal ref Proceedings of the 7th Annual Conference on Robot Learning (CoRL 2023), November 6-9, 2023, Atlanta, Georgia, USA

Learning Performance Graphs from Demonstrations via Task-Based Evaluations

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

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

Comments Published in IEEE Robotics and Automation Letters (RA-L) Vol. 8 Issue 1

Journal ref in IEEE Robotics and Automation Letters, vol. 8, no. 1, pp. 336-343, Jan. 2023

Concurrent Training of a Control Policy and a State Estimator for Dynamic and Robust Legged Locomotion

Gwanghyeon Ji, Juhyeok Mun, Hyeongjun Kim, Jemin Hwangbo

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

Comments Accepted for IEEE Robotics and Automation Letters (RA-L) and ICRA 2022

Journal ref IEEE Robotics and Automation Letters (Volume: 7, Issue: 2, April 2022)

Formal Policy Learning from Demonstrations for Reachability Properties

从演示中学习形式策略以满足可达性属性

Hadi Ravanbakhsh, Sriram Sankaranarayanan, Sanjit A. Seshia

专题命中 机器人学习 ：robotic(abstract)

AI总结 本文提出了一种从演示中学习结构化闭环策略的方法，用于控制欠驱动机器人系统，以满足如到达目标状态集等形式行为规范。该方法通过策略学习者、演示者和验证器之间的交互，利用反例引导的迭代循环，通过反例更新训练数据并细化策略。

Mobile Beamforming & Spatially Controlled Relay Communications

移动波束成形与空间控制中继通信

Dionysios S. Kalogerias, Athina P. Petropulu

专题命中 机器人学习 ：robotic(abstract)

AI总结 本文研究了单源单目标机器人中继网络中的随机运动规划问题，提出了一种两阶段随机规划方法，通过优化中继位置以最大化总波束成形功率的期望倒数，采用随机因果信道状态信息进行决策。

Comments 41st International Conference on Acoustics, Speech & Signal Processing (ICASSP 2016) Presentation Available: http://sigport.org/831

Computational methods for stochastic control with metric interval temporal logic specifications

具有度量区间时序逻辑规范的随机控制计算方法

Jie Fu, Ufuk Topcu

专题命中 机器人学习 ：robotic(abstract)

AI总结 本文研究了连续时间随机系统在度量区间时序逻辑规范下的最优控制问题，提出了一种基于离散近似的方法来合成最优控制策略，以最大化满足规范的概率，并展示了该策略在离散近似中收敛到连续时间语义下的最优策略。

Comments 8 pages, 6 figures, submitted to IEEE CDC 2015

Trajectory-Optimized Density Control with Flow Matching

Xu Duan, Dongmei Chen

专题命中 机器人学习 ：robotics(abstract)

State and Input Constrained Adaptive Tracking Control of Uncertain Euler-Lagrange Systems with Robustness and Feasibility Analysis

Poulomee Ghosh, Shubhendu Bhasin

专题命中 机器人学习 ：robotic(abstract)

Comments arXiv admin note: text overlap with arXiv:2212.08495

Riemannian Accelerated Zeroth-order Algorithm: Improved Robustness and Lower Query Complexity

Chang He, Zhaoye Pan, Xiao Wang, Bo Jiang

专题命中 机器人学习 ：robot learning(abstract)

Comments Accepted by ICML 2024

Optimizing Consensus-based Multi-target Tracking with Multiagent Rollout Control Policies

Tianqi Li, Lucas W. Krakow, Swaminathan Gopalswamy

专题命中 机器人学习 ：robotic(abstract)

Data-Driven Hierarchical Predictive Learning in Unknown Environments

Charlott Vallon, Francesco Borrelli

专题命中 机器人学习 ：robotic(abstract)