mlsanityData to 7 Oct 2026

A Survey of Robot Manipulation in Contact

arXiv 2112.01942 ↗First posted 3 Dec 2021cs.ROcited by 26

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Abstract (arXiv)

In this survey, we present the current status on robots performing manipulation tasks that require varying contact with the environment, such that the robot must either implicitly or explicitly control the contact force with the environment to complete the task. Robots can perform more and more manipulation tasks that are still done by humans, and there is a growing number of publications on the topics of 1) performing tasks that always require contact and 2) mitigating uncertainty by leveraging the environment in tasks that, under perfect information, could be performed without contact. The recent trends have seen robots perform tasks earlier left for humans, such as massage, and in the classical tasks, such as peg-in-hole, there is a more efficient generalization to other similar tasks, better error tolerance, and faster planning or learning of the tasks. Thus, in this survey we cover the current stage of robots performing such tasks, starting from surveying all the different in-contact tasks robots can perform, observing how these tasks are controlled and represented, and finally presenting the learning and planning of the skills required to complete these tasks.

Key facts. Cited by 26 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 Dec 2021.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 2; 2023: 1; 2024: 5; 2025: 10; 2026: 8.

26 papers.

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  1. 2024NaVid: Video-based VLM Plans the Next Step for Vision-and-Language Navigationcited by 222
  2. 2024A Survey of Embodied Learning for Object-Centric Robotic Manipulationcited by 34
  3. 2025Touch begins where vision ends: Generalizable policies for contact-rich manipulationcited by 13
  4. 2022Visuo-Haptic Object Perception for Robots: An Overviewcited by 12
  5. 2025A Survey on Imitation Learning for Contact-Rich Tasks in Roboticscited by 12
  6. 2024GenCHiP: Generating Robot Policy Code for High-Precision and Contact-Rich Manipulation Taskscited by 9
  7. 2025Is Single-View Mesh Reconstruction Ready for Robotics?cited by 6
  8. 2025Bresa: Bio-inspired Reflexive Safe Reinforcement Learning for Contact-Rich Robotic Taskscited by 3
  9. 2025Contact Map Transfer with Conditional Diffusion Model for Generalizable Dexterous Grasp Generationcited by 3
  10. 2025Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learningcited by 2
  11. 2025FLEX: A Framework for Learning Robot-Agnostic Force-based Skills Involving Sustained Contact Object Manipulationcited by 1
  12. 2026SCAR: Self-Supervised Continuous Action Representation Learningcited by 1
14 more
  1. 2026PAC-ACT: Post-training Actor-Critic for Action Chunking Transformerscited by 1
  2. 2026Facet-0: A Robotic Foundation Model for Contact-Rich Precise Manipulationcited by 1
  3. 2022Augmentation for Learning From Demonstration with Environmental Constraintscited by 0
  4. 2023A Central Motor System Inspired Pre-training Reinforcement Learning for Robotic Controlcited by 0
  5. 2024COBRA-PPM: A Causal Bayesian Reasoning Architecture Using Probabilistic Programming for Robot Manipulation Under Uncertaintycited by 0
  6. 2024KineDepth: Utilizing Robot Kinematics for Online Metric Depth Estimationcited by 0
  7. 2025Simultaneous Estimation of Manipulation Skill and Hand Grasp Force from Forearm Ultrasound Imagescited by 0
  8. 2025Learning a High-quality Robotic Wiping Policy Using Systematic Reward Analysis and Visual-Language Model Based Curriculumcited by 0
  9. 2025Learning Rock Pushability on Rough Planetary Terraincited by 0
  10. 2026Tactile Memory with Soft Robot: Robust Object Insertion via Masked Encoding and Soft Wristcited by 0
  11. 2026Learning Hybrid-Control Policies for High-Precision In-Contact Manipulation Under Uncertaintycited by 0
  12. 2026Spacetime Optimal-Transport Attention for Visuo-Haptic Imitation Learning of Contact-Rich Manipulationcited by 0
  13. 2026WA-SpecDec: World-Aware Speculative Decoding for Vision-Language-Action Modelscited by 0
  14. 2026CR-VLA-Force: Learning Control-aware Compliance VLA Model for Robust Contact-rich Robotic Manipulationcited by 0