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Executing contact-rich manipulation tasks necessitates the fusion of tactile and visual feedback. However, the distinct nature of these modalities poses significant challenges. In this paper, we introduce a system that leverages visual and…

Robotics · Computer Science 2024-08-01 Ying Yuan , Haichuan Che , Yuzhe Qin , Binghao Huang , Zhao-Heng Yin , Kang-Won Lee , Yi Wu , Soo-Chul Lim , Xiaolong Wang

The flexible under-actuated musculoskeletal hand is superior in its adaptability and impact resistance. On the other hand, since the relationship between sensors and actuators cannot be uniquely determined, almost all its controls are based…

Grasping the same object in different postures is often necessary, especially when handling tools or stacked items. Due to unknown object properties and changes in grasping posture, the required grasping force is uncertain and variable.…

Robotics · Computer Science 2025-03-17 Qiyin Huang , Ruomin Sui , Lunwei Zhang , Yenhang Zhou , Tiemin Li , Yao Jiang

To achieve general-purpose dexterous manipulation, robots must rapidly devise and execute contact-rich behaviors. Existing model-based controllers are incapable of globally optimizing in real-time over the exponential number of possible…

Robotics · Computer Science 2026-05-18 Sharanya Venkatesh , Bibit Bianchini , Alp Aydinoglu , William Yang , Michael Posa

Robotic insertion tasks remain challenging due to uncertainties in perception and the need for precise control, particularly in unstructured environments. While humans seamlessly combine vision and touch for such tasks, effectively…

Robotics · Computer Science 2024-11-01 Janis Lenz , Theo Gruner , Daniel Palenicek , Tim Schneider , Jan Peters

Dexterous multi-fingered hands can accomplish fine manipulation behaviors that are infeasible with simple robotic grippers. However, sophisticated multi-fingered hands are often expensive and fragile. Low-cost soft hands offer an appealing…

Machine Learning · Computer Science 2017-03-21 Abhishek Gupta , Clemens Eppner , Sergey Levine , Pieter Abbeel

We present the PLATO Hand, a dexterous robotic hand with a hybrid fingertip that combines a rigid fingernail, embedded distal phalanx, and compliant pulp to shape contact behavior during manipulation. \rrev{By mechanically organizing how…

Robotics · Computer Science 2026-05-19 Dong Ho Kang , Aaron Kim , Mingyo Seo , Kazuto Yokoyama , Tetsuya Narita , Luis Sentis

Achieving successful robotic manipulation is an essential step towards robots being widely used in industry and home settings. Recently, many learning-based methods have been proposed to tackle this challenge, with imitation learning…

Robotics · Computer Science 2023-01-24 Kelin Li , Digby Chappell , Nicolas Rojas

In-hand dexterous telemanipulation requires not only precise remote motion control of the robot but also effective haptic feedback to the human operator to ensure stable and intuitive interactions between them. Most existing haptic devices…

Robotics · Computer Science 2025-04-15 Haoyang Wang , Haoran Guo , He Ba , Zhengxiong Li , Lingfeng Tao

Attaching a heavy payload to the wrist force/moment (F/M) sensor of a manipulator can cause conventional impedance controllers to fail in establishing the desired impedance due to the presence of non-contact forces; namely, the inertial and…

Robotics · Computer Science 2024-09-24 Farhad Aghili

Collocated tactile sensing is a fundamental enabling technology for dexterous manipulation. However, deformable sensors introduce complex dynamics between the robot, grasped object, and environment that must be considered for fine…

Robotics · Computer Science 2022-09-28 Miquel Oller , Mireia Planas , Dmitry Berenson , Nima Fazeli

Adaptation to various scene configurations and object properties, stability and dexterity in robotic grasping manipulation is far from explored. This work presents an origami-based shape morphing fingertip design to actively tackle the…

Robotics · Computer Science 2020-10-13 Zicheng Kan , Yazhan Zhang , Chohei Pang , Michael Yu Wang

Robotic dexterous grasping is a challenging problem due to the high degree of freedom (DoF) and complex contacts of multi-fingered robotic hands. Existing deep reinforcement learning (DRL) based methods leverage human demonstrations to…

Robotics · Computer Science 2023-10-18 Qingtao Liu , Yu Cui , Qi Ye , Zhengnan Sun , Haoming Li , Gaofeng Li , Lin Shao , Jiming Chen

Constraining contacts to remain fixed on an object during manipulation limits the potential workspace size, as motion is subject to the hand's kinematic topology. Finger gaiting is one way to alleviate such restraints. It allows contacts to…

Robotics · Computer Science 2022-03-04 Andrew S. Morgan , Kaiyu Hang , Bowen Wen , Kostas Bekris , Aaron M. Dollar

How should a robot direct active vision so as to ensure reliable grasping? We answer this question for the case of dexterous grasping of unfamiliar objects. By dexterous grasping we simply mean grasping by any hand with more than two…

Robotics · Computer Science 2019-07-03 Ermano Arruda , Jeremy Wyatt , Marek Kopicki

Contact-rich dexterous manipulation with multi-finger hands remains an open challenge in robotics because task success depends on multi-point contacts that continuously evolve and are highly sensitive to object geometry, frictional…

Properly handling delicate produce with robotic manipulators is a major part of the future role of automation in agricultural harvesting and processing. Grasping with the correct amount of force is crucial in not only ensuring proper grip…

Robotics · Computer Science 2026-02-05 Preston Fairchild , Claudia Chen , Xiaobo Tan

This paper presents a unified algorithm for motion and force control for a six degree-of-freedom spatial manipulator. The motion-force controller performs trajectory tracking, maneuvering the manipulator's end-effector through desired…

Robotics · Computer Science 2024-08-09 Sagar Ojha , Karl Leodler , Lou Barbieri , TseHuai Wu

Dexterous grasping of unseen objects in dynamic environments is an essential prerequisite for the advanced manipulation of autonomous robots. Prior advances rely on several assumptions that simplify the setup, including environment…

Robotics · Computer Science 2024-04-09 Yannick Burkhardt , Qian Feng , Jianxiang Feng , Karan Sharma , Zhaopeng Chen , Alois Knoll

The strength of the human hand lies in its ability to manipulate small objects precisely and robustly. In contrast, simple robotic grippers have low dexterity and fail to handle small objects effectively. This is why many automation tasks…

Robotics · Computer Science 2026-02-04 Haegu Lee , Yitaek Kim , Victor Melbye Staven , Christoffer Sloth