机器人 / 具身智能

Object Detection and Pose Estimation from RGB and Depth Data for Real-time, Adaptive Robotic Grasping

S. K. Paul, M. T. Chowdhury, M. Nicolescu, M. Nicolescu

专题命中 机器人操作 ：robotic(title,abstract)；manipulation(abstract)；分类 cs.RO、cs.CV

Learning Dexterous Manipulation from Suboptimal Experts

Rae Jeong, Jost Tobias Springenberg, Jackie Kay, Daniel Zheng, Yuxiang Zhou, Alexandre Galashov, Nicolas Heess, Francesco Nori

专题命中 机器人操作 ：manipulation(title,abstract)；robotic(abstract)；分类 cs.RO、cs.AI

Learning 3D Dynamic Scene Representations for Robot Manipulation

Zhenjia Xu, Zhanpeng He, Jiajun Wu, Shuran Song

专题命中 机器人操作 ：manipulation(title,abstract)；robotic(abstract)；分类 cs.RO、cs.CV

Comments CoRL 2020. The first two authors contributed equally to this paper. Project page: https://dsr-net.cs.columbia.edu/

Grasping with Chopsticks: Combating Covariate Shift in Model-free Imitation Learning for Fine Manipulation

Liyiming Ke, Jingqiang Wang, Tapomayukh Bhattacharjee, Byron Boots, Siddhartha Srinivasa

专题命中 机器人操作 ：manipulation(title,abstract)；robotic(abstract)；分类 cs.RO、cs.LG

Comments Submitted to ICRA 2021

Self-Supervised Object-in-Gripper Segmentation from Robotic Motions

Wout Boerdijk, Martin Sundermeyer, Maximilian Durner, Rudolph Triebel

专题命中 机器人操作 ：robotic(title,abstract)；manipulation(abstract)；分类 cs.RO、cs.CV

Comments 15 pages, 11 figures. Video: https://www.youtube.com/watch?v=srEwuuIIgzI

Manipulation of Articulated Objects using Dual-arm Robots via Answer Set Programming

Riccardo Bertolucci, Alessio Capitanelli, Carmine Dodaro, Nicola Leone, Marco Maratea, Fulvio Mastrogiovanni, Mauro Vallati

专题命中 机器人操作 ：manipulation(title,abstract)；robotics(abstract)；分类 cs.RO、cs.AI

Comments Under consideration in Theory and Practice of Logic Programming (TPLP)

Manipulation Motion Taxonomy and Coding for Robots

David Paulius, Yongqiang Huang, Jason Meloncon, Yu Sun

专题命中 机器人操作 ：manipulation(title,abstract)；robotics(abstract)；分类 cs.RO、cs.CV

Comments IROS 2019 Submission -- 6 pages

Learning Force Control for Contact-rich Manipulation Tasks with Rigid Position-controlled Robots

Cristian Camilo Beltran-Hernandez, Damien Petit, Ixchel G. Ramirez-Alpizar, Takayuki Nishi, Shinichi Kikuchi, Takamitsu Matsubara, Kensuke Harada

专题命中 机器人操作 ：manipulation(title,abstract)；robotic(abstract)；分类 cs.RO、cs.LG

Comments 8 pages, 9 figures, version accepted for IROS RA-L 2020, for associated video file, see https://youtu.be/4wdIhQxD6cA

Efficient State Abstraction using Object-centered Predicates for Manipulation Planning

Alejandro Agostini, Dongheui Lee

专题命中 机器人操作 ：manipulation(title,abstract)；robotic(abstract)；分类 cs.RO、cs.AI

Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching

Andy Zeng, Shuran Song, Kuan-Ting Yu, Elliott Donlon, Francois R. Hogan, Maria Bauza, Daolin Ma, Orion Taylor, Melody Liu, Eudald Romo, Nima Fazeli, Ferran Alet, Nikhil Chavan Dafle, Rachel Holladay, Isabella Morona, Prem Qu Nair, Druck Green, Ian Taylor, Weber Liu, Thomas Funkhouser, Alberto Rodriguez

专题命中 机器人操作 ：robotic(title,abstract)；robotics(abstract)；分类 cs.RO、cs.CV

Comments Project webpage: http://arc.cs.princeton.edu Summary video: https://youtu.be/6fG7zwGfIkI

Robotic Arm Control and Task Training through Deep Reinforcement Learning

Andrea Franceschetti, Elisa Tosello, Nicola Castaman, Stefano Ghidoni

专题命中 机器人操作 ：robotic(title,abstract)；manipulation(abstract)；分类 cs.RO、cs.AI

Comments Submitted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2018

Team O2AS at the World Robot Summit 2018: An Approach to Robotic Kitting and Assembly Tasks using General Purpose Grippers and Tools

Felix von Drigalski, Chisato Nakashima, Yoshiya Shibata, Yoshinori Konishi, Joshua C. Triyonoputro, Kaidi Nie, Damien Petit, Toshio Ueshiba, Ryuichi Takase, Yukiyasu Domae, Taku Yoshioka, Yoshihisa Ijiri, Ixchel G. Ramirez-Alpizar, Weiwei Wan, Kensuke Harada

专题命中 机器人操作 ：robotic(title,abstract)；robotics(abstract)；分类 cs.RO、cs.CV

UnrealROX: An eXtremely Photorealistic Virtual Reality Environment for Robotics Simulations and Synthetic Data Generation

Pablo Martinez-Gonzalez, Sergiu Oprea, Alberto Garcia-Garcia, Alvaro Jover-Alvarez, Sergio Orts-Escolano, Jose Garcia-Rodriguez

专题命中 机器人操作 ：robotics(title)；navigation(abstract)；robotic(abstract)；分类 cs.RO、cs.CV

Comments Published in Virtual Reality journal

Learning Hierarchical Control for Robust In-Hand Manipulation

Tingguang Li, Krishnan Srinivasan, Max Qing-Hu Meng, Wenzhen Yuan, Jeannette Bohg

专题命中 机器人操作 ：manipulation(title,abstract)；robotic(abstract)；分类 cs.RO、cs.AI

Creativity in Robot Manipulation with Deep Reinforcement Learning

Juan Carlos Vargas, Malhar Bhoite, Amir Barati Farimani

专题命中 机器人操作 ：manipulation(title,abstract)；robotic(abstract)；分类 cs.RO、cs.LG

Comments 17 pages, 7 figures

ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation

Shreeyak S. Sajjan, Matthew Moore, Mike Pan, Ganesh Nagaraja, Johnny Lee, Andy Zeng, Shuran Song

专题命中 机器人操作 ：manipulation(title,abstract)；robotic(abstract)；分类 cs.RO、cs.CV

Comments Project Website: https://sites.google.com/view/cleargrasp, 13 pages, 13 figures, submitted to ICRA

Learning from Implicit Information in Natural Language Instructions for Robotic Manipulations

Ozan Arkan Can, Pedro Zuidberg Dos Martires, Andreas Persson, Julian Gaal, Amy Loutfi, Luc De Raedt, Deniz Yuret, Alessandro Saffiotti

专题命中 机器人操作 ：robotic(title,abstract)；robotics(abstract)；分类 cs.RO、cs.AI

Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost

Henry Zhu, Abhishek Gupta, Aravind Rajeswaran, Sergey Levine, Vikash Kumar

专题命中 机器人操作 ：manipulation(title,abstract)；robotic(abstract)；分类 cs.RO、cs.AI

Comments https://sites.google.com/view/deeprl-handmanipulation

FastOrient: Lightweight Computer Vision for Wrist Control in Assistive Robotic Grasping

Mireia Ruiz Maymo, Ali Shafti, A. Aldo Faisal

专题命中 机器人操作 ：robotic(title,abstract)；robotics(abstract)；分类 cs.RO、cs.CV

Comments 6 pages. Accepted for publication at IEEE BioRob 2018

Learning to Imagine Manipulation Goals for Robot Task Planning

Chris Paxton, Kapil Katyal, Christian Rupprecht, Raman Arora, Gregory D. Hager

专题命中 机器人操作 ：manipulation(title)；robotics(abstract)；navigation(abstract)；分类 cs.RO、cs.LG

Transfer learning from synthetic to real images using variational autoencoders for robotic applications

Tadanobu Inoue, Subhajit Chaudhury, Giovanni De Magistris, Sakyasingha Dasgupta

专题命中 机器人操作 ：robotic(title,abstract)；manipulation(abstract)；分类 cs.RO、cs.CV

Comments video: https://youtu.be/Wd-1WU8emkw

Robotic Grasp Detection using Deep Convolutional Neural Networks

Sulabh Kumra, Christopher Kanan

专题命中 机器人操作 ：robotic(title,abstract)；robotics(abstract)；分类 cs.RO、cs.CV

Comments 8 pages, 9 figures, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017)

Robotic Ironing with 3D Perception and Force/Torque Feedback in Household Environments

David Estevez, Juan G. Victores, Raul Fernandez-Fernandez, Carlos Balaguer

专题命中 机器人操作 ：robotic(title,abstract)；manipulation(abstract)；分类 cs.RO、cs.CV

Comments Accepted and to be published on the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017) that will be held in Vancouver, Canada, September 24-28, 2017

Data-efficient Deep Reinforcement Learning for Dexterous Manipulation

Ivaylo Popov, Nicolas Heess, Timothy Lillicrap, Roland Hafner, Gabriel Barth-Maron, Matej Vecerik, Thomas Lampe, Yuval Tassa, Tom Erez, Martin Riedmiller

专题命中 机器人操作 ：manipulation(title,abstract)；robotics(abstract)；分类 cs.RO、cs.LG

Comments 12 pages, 5 Figures

One-Shot Learning of Manipulation Skills with Online Dynamics Adaptation and Neural Network Priors

Justin Fu, Sergey Levine, Pieter Abbeel

专题命中 机器人操作 ：manipulation(title,abstract)；robotic(abstract)；分类 cs.RO、cs.LG

Model-Driven Feed-Forward Prediction for Manipulation of Deformable Objects

Yinxiao Li, Yan Wang, Yonghao Yue, Danfei Xu, Michael Case, Shih-Fu Chang, Eitan Grinspun, Peter Allen

专题命中 机器人操作 ：manipulation(title,abstract)；robotic(abstract)；分类 cs.RO、cs.CV

Comments 21 pages, 27 figures

Learning the Semantics of Manipulation Action

Yezhou Yang, Yiannis Aloimonos, Cornelia Fermuller, Eren Erdal Aksoy

专题命中 机器人操作 ：manipulation(title,abstract)；robotic(abstract)；分类 cs.RO、cs.CV

Journal ref The 53rd Annual Meeting of the Association for Computational Linguistics (ACL) 1 (2015) 676-686

Effector-Centric NMPC of Tiltable-Multirotors for Offset-Free Omnidirectional Aerial Manipulation

面向可倾转多旋翼飞行器的以 effector 为中心的非线性模型预测控制（NMPC），用于无偏移全向空中操作

Jinjie Li, Yicheng Chen, Johannes Kübel, Haokun Liu, Junichiro Sugihara, Moju Zhao

专题命中 机器人操作 ：manipulation(title,abstract)；robotic(abstract)；分类 cs.RO；robotics(comments)

AI总结 本研究针对可倾转多旋翼飞行器，设计并提出以 effector 为中心的 NMPC 框架，整合构型优化、奇异处理与扰动补偿，通过真实实验验证其可实现无偏移全向空中操作的可行性。

Comments 22 pages, 26 figures. Accepted to IEEE Transactions on Robotics (T-RO). This arXiv version includes a two-page appendix with additional implementation details

NEO: NeRF It Once, Edit It Many Times for Continuous Object Manipulation

NEO：一次性NeRF，多次编辑以进行连续物体操纵

Mikołaj Zieliński, David Hall, Dominik Belter, Peyman Moghadam

机构 * Institute of Robotics and Machine Intelligence, Poznan University of Technology（波兹南理工大学机器人与机器智能研究所） ； CSIRO Robotics, CSIRO（联邦科学与工业研究组织机器人部） 纠错

专题命中 机器人操作 ：manipulation(title,abstract)；robotic(abstract)；分类 cs.RO；robotics(comments)

AI总结 本文提出NEO框架，用于机器人操纵的语言引导NeRF编辑。结合神经场重采样与多视图修复实现物体移除，利用知识蒸馏进行NeRF权重编辑，还创建了评估基准NEO-Dataset。该方法在场景编辑任务中表现出色，优于现有基线。

Comments Accepted to IEEE ROBOTICS AND AUTOMATION LETTERS (RA-L) JULY, 2026

Design, Control, and Motion Strategy for DELTA: Transformable Multilink Multirotor for Air-Ground Hybrid Locomotion and Manipulation

DELTA：可变形多连杆多旋翼飞行器的设计、控制与运动策略——用于空地混合运动与操作

Kazuki Sugihara, Moju Zhao, Takuzumi Nishio, Kei Okada, Masayuki Inaba

专题命中 机器人操作 ：manipulation(title,abstract)；robotic(abstract)；分类 cs.RO；robotics(journal_ref)

AI总结 本文提出一种新型多连杆多旋翼机器人DELTA，通过在每个连杆上安装推进器并利用关节驱动，实现了地面滚动、空中飞行及多种环境下的操作能力，并设计了基于非线性优化的实时控制方法和考虑接触约束的运动策略。

Comments 20 pages, 31 figures

Journal ref IEEE Transactions on Robotics, vol. 42, pp. 2765-2785, 2026