Overview

Robotic manipulation studies how machines use sensing and motion to change objects and environments, from picking and assembly to tool use and handling deformable materials. Approaches combine geometric planning and force or impedance control with imitation learning, reinforcement learning, diffusion policies, and vision-language-action models; world models, memory, tactile feedback, and human-video demonstrations are also used. Methods are tested in simulation and on real robots using suites such as LIBERO, RoboTwin, ManiSkill, and RLBench, across clutter, bimanual coordination, mobile manipulation, and precision contact tasks. A central challenge is turning benchmark performance into safe, reliable long-horizon behavior across new objects, cameras, robot bodies, and real-world dynamics, while limiting data collection and inference costs.

Latest papers

CardsList

1,704 papers341 papers in the last four weeks, up 29% on the four weeks before. 2.0% of all new papers.

  1. MS-MEM: Multi-Skill Manipulation-Enhanced Mapping via Uncertainty- and Disturbance-Aware Action Selection

    Sep 2, 2026Yitian Shi, Jesper Mücke, Nils Dengler +3Robotic Object PushingSemantic Mapping

  2. World-Coherent Decoding: Self-Verifying Test-Time Planning for World Action Models

    Sep 2, 2026Chuhan Zhang, Seiji Ito, Kenta Hoshino +2World Action ModelsRobotic Manipulation

  3. Real-Time Dynamics-Based Torque-Sampling MPPI for Compliant and Force Aware Manipulation

    Sep 2, 2026Euncheol Im, Taehyun Kim, Yonghwan Oh +2Robotic ControlModel Predictive Control

  4. A System for Fast, Resilient, and Adaptable Loco-Manipulation Behaviors on Humanoid Robots

    Sep 1, 2026Duncan Calvert, Luigi Penco, Dexton Anderson +4Affordance-Based Robotic ManipulationHumanoid Loco-Manipulation

  5. Does Imitation Learning Preserve Temporal Robustness in Dexterous Manipulation? An Expert-Learner Comparison Across Task Execution Speeds

    Sep 1, 2026Clinton Enwerem, John S. Baras, Calin BeltaContact-Rich Robotic ManipulationRobotic Policy Evaluation

  6. Beyond Object Selection:Markerless Gaze-based Robot Placement at Arbitrary Positions

    Aug 31, 2026Yuzhi Lai, William Marx, Shenghai Yuan +3Robotic Manipulation

  7. IMPACT: Attention Is the Interaction Map for Scalable Interaction-Aware World Model Training

    Aug 31, 2026Rongze Tang, Jianjie Fang, Zhaolu Wang +8World Model LearningAction-Conditioned World Models

  8. Autonomously Acquiring Robot Manipulation Skills with Language-Driven Quality-Diversity

    Aug 31, 2026Émiland Garrabé, Mahdi Khoramshahi, Stéphane DoncieuxRobot Policy LearningRobot Skill Learning

  9. Zeva: In-Context Causal Learning for Generalizable Embodied Manipulation

    Aug 31, 2026Fu Chen, Xin Ding, Bingjia Huang +8Robot Policy LearningICL for Robotics

  10. Temporal Forcing: 4D Representation Alignment for Vision-Language-Action Models

    Aug 31, 2026Xingyu Ding, Yuzhong Zhao, Chunhai Zhao +3Representation LearningTemporal Representation Learning

  11. CometVLA: Co-Training on an Embodied Data Pyramid towards Physical Understanding

    Aug 31, 2026Hanwen Wan, Dafeng Chi, Linbo Zhai +6Language-Conditioned Robot ManipulationEmbodied QA

  12. Sampling-based Certified Planning with Graphs of Convex Sets

    Aug 30, 2026Peng Xie, Amr AlanwarConstrained Motion PlanningRobotic Manipulation

  13. AGM: Achievement-Grounded Memory for Closed-Loop Agents with Frozen VLA Policies

    Aug 30, 2026Hongbo Gao, Zeyu Ni, Xin Wen +4Memory-Augmented VLMsRobotic Manipulation

  14. Blind Dexterity: Whole-Body Humanoid Manipulation via Pure Proprioception

    Aug 30, 2026Aditya Bhatt, Oleg Kaidanov, Puze Liu +1Whole-Body Robotic ManipulationRobotic Manipulation

  15. AnyWorld: Factorized Egocentric World Models for Cross-Embodiment Generalization

    Aug 29, 2026Cheng Chen, Jerry Bai, Jiacheng Wei +11Robot Skill LearningWorld Models for Robotics

  16. Agri-Sim: Agricultural Simulation Platform for Embodied Intelligence Evaluation in Greenhouse Robotics

    Aug 29, 2026Shuhan Shi, Zhenfeng Xue, Minghao Mei +3Robotic HarvestingRobotics Simulation

  17. Contact-Guided Exploration for Non-Prehensile Locomanipulation with Multi-Critic RL

    Aug 28, 2026Simone Tolomei, Mayank Mittal, Franco Angelini +3Non-Prehensile Robotic ManipulationRobotic Manipulation

  18. Deciding If, When, and Where to Replan for Robust Manipulation

    Aug 28, 2026Narendhiran Vijayakumar, Puru Ojha, Nav Singhal +2Large Language Model-Based Robot PlanningRobotic Manipulation

  19. PHR-VLA: Planning Horizon Reasoning for Vision-Language-Action Models

    Aug 27, 2026Davood Soleymanzadeh, Kaidi Zhang, Zhiyuan Zhang +4Vision-Language-Action ModelsReasoning for VLA Models

  20. Tensegrity Continuum Robots Enable Task-Adaptive Morphologies for Cooperative Behaviors

    Aug 27, 2026Mahmud Hasan Saikot, Sydney Spiegel, Sudheera Akalanka Kariyawasam +3Tensegrity RoboticsRobotics

  21. Planning a Shared Modular Fixture Layout Across Robotic Disassembly Stages

    Aug 27, 2026Haohui Pan, Takuya Kiyokawa, Kensuke HaradaRobotic Manipulation

  22. GRAFT: Grounded and Efficient Online Reinforcement Adaptation for Fine-Grained Robot Manipulation

    Aug 27, 2026Yibo Qiu, Haoliang Ye, Shu'ang Sun +3Visual Grounding for RoboticsRL for Robotics

  23. Relaxation-Aware Multimodal Sensing of Soft Gripper Driven by Structure-Perception-Learning

    Aug 27, 2026Yanzhe Wang, Hao Wu, Ziyi Zheng +1Robotic GraspingSoft Robotics

  24. Beyond Relative Geometry: Metric-Aware Geometry Perception for Robotics

    Aug 27, 2026Fengjun Zhong, Congjia Chen, Zhaoxu Liu +7Robotic Perception3D Reconstruction