Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
MANIPULATION papers(5,632)
Clear ✕PhotoBot: Reference-Guided Interactive Photography via Natural Language
Oliver Limoyo, Jimmy Li, Dmitriy Rivkin +2 more
2024
ICGNet: A Unified Approach for Instance-Centric Grasping
René Zurbrügg, Yifan Liu, Francis Engelmann +4 more
2024
Efficient Training of Generalizable Visuomotor Policies via Control-Aware Augmentation
Yinuo Zhao, Kun Wu, Tianjiao Yi +5 more
2024
DiffClone: Enhanced Behaviour Cloning in Robotics with Diffusion-Driven Policy Learning
Sabariswaran Mani, Sreyas Venkataraman, Abhranil Chandra +4 more
2024
Learning from Imperfect Demonstrations with Self-Supervision for Robotic Manipulation
Kun Wu, Ning Liu, Zhen Zhao +5 more
2024
Multi-task real-robot data with gaze attention for dual-arm fine manipulation
Heecheol Kim, Yoshiyuki Ohmura, Yasuo Kuniyoshi
2024
Robo-ABC: Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation
Yuanchen Ju, Kaizhe Hu, Guowei Zhang +3 more
2024
Exploring of Discrete and Continuous Input Control for AI-enhanced Assistive Robotic Arms
Max Pascher, Kevin Zinta, Jens Gerken
2024
Towards Real-World Aerial Vision Guidance with Categorical 6D Pose Tracker
Jingtao Sun, Yaonan Wang, Danwei Wang
2024
Language-Conditioned Robotic Manipulation with Fast and Slow Thinking
Minjie Zhu, Yichen Zhu, Jinming Li +8 more
2024
MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning
Rafael Rafailov, Kyle Hatch, Victor Kolev +3 more
2024
Object-Centric Instruction Augmentation for Robotic Manipulation
Junjie Wen, Yichen Zhu, Minjie Zhu +8 more
2024
Learning Keypoints for Robotic Cloth Manipulation using Synthetic Data
Thomas Lips, Victor-Louis De Gusseme, Francis wyffels
2024
GenH2R: Learning Generalizable Human-to-Robot Handover via Scalable Simulation, Demonstration, and Imitation
Zifan Wang, Junyu Chen, Ziqing Chen +3 more
2024
Any-point Trajectory Modeling for Policy Learning
Chuan Wen, Xingyu Lin, John So +4 more
2023
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action
Jiasen Lu, Christopher Clark, Sangho Lee +5 more
2023
ManipLLM: Embodied Multimodal Large Language Model for Object-Centric Robotic Manipulation
Xiaoqi Li, Mingxu Zhang, Yiran Geng +6 more
2023
Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing
Jinmin He, Kai Li, Yifan Zang +4 more
2023
QUAR-VLA: Vision-Language-Action Model for Quadruped Robots
Pengxiang Ding, Han Zhao, Wenjie Zhang +5 more
2023
Diffusion Reward: Learning Rewards via Conditional Video Diffusion
Tao Huang, Guangqi Jiang, Yanjie Ze +1 more
2023
Modular Neural Network Policies for Learning In-Flight Object Catching with a Robot Hand-Arm System
Wenbin Hu, Fernando Acero, Eleftherios Triantafyllidis +2 more
2023
EfficientPPS: Part-aware Panoptic Segmentation of Transparent Objects for Robotic Manipulation
Benjamin Alt, Minh Dang Nguyen, Andreas Hermann +4 more
2023
Neural feels with neural fields: Visuo-tactile perception for in-hand manipulation
Sudharshan Suresh, Haozhi Qi, Tingfan Wu +9 more
2023
Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation
Hongtao Wu, Ya Jing, Chilam Cheang +6 more
2023