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Operating robots precisely and at high speeds has been a long-standing goal of robotics research. Balancing these competing demands is key to enabling the seamless collaboration of robots and humans and increasing task performance. However,…

Wearable robots aim to seamlessly adapt to humans and their environment with personalized interactions. Existing supernumerary robotic limbs (SRLs), which enhance the physical capabilities of humans with additional extremities, have thus…

Robotics · Computer Science 2026-04-01 Mustafa Mete , Anastasia Bolotnikova , Alexander Schuessler , Jamie Paik

When a dual-arm robot clamps a rigid object in an environment for human beings, the environment or the collaborating human will impose incidental disturbance on the operated object or the robot arm, leading to clamping failure, damaging the…

Robotics · Computer Science 2021-12-21 Xiaoyu Ren , Liqun Huang , Mingguo Zhao

Tendon-driven robotic hands offer unparalleled dexterity for manipulation tasks, but learning control policies for such systems presents unique challenges. Unlike joint-actuated robotic hands, tendon-driven systems lack a direct one-to-one…

Robotics · Computer Science 2025-08-13 Sagar Verma

Hands are used for communicating with the surrounding environment and have a complex structure that enables them to perform various tasks with their multiple degrees of freedom. Hand amputation can prevent a person from performing their…

Robotics · Computer Science 2023-04-24 Atusa Ghorbani , Aghil Yousefi-Koma , Amirhosein Vedadi

Assessing human muscle fatigue is critical for optimizing performance and safety in physical human-robot interaction(pHRI). This work presents a data-driven framework to estimate fatigue in dynamic, cyclic pHRI using arm-mounted surface…

Robotics · Computer Science 2026-02-18 Feras Kiki , Pouya P. Niaz , Alireza Madani , Cagatay Basdogan

Supernumerary robotic limbs (SRLs) are robotic structures integrated closely with the user's body, which augment human physical capabilities and necessitate seamless, naturalistic human-machine interaction. For effective assistance in…

Humanoid robots have the potential capability to perform a diverse range of manipulation tasks, but this is based on a robust and precise standing controller. Existing methods are either ill-suited to precisely control high-dimensional…

The nonrigid alignment between a pre-operative biomechanical model and an intra-operative observation is a critical step to track the motion of a soft organ in augmented surgery. While many elastic registration procedures introduce…

Optimization and Control · Mathematics 2022-06-23 Guillaume Mestdagh , Stéphane Cotin

Robot-assisted dressing is a popular but challenging topic in the field of robotic manipulation, offering significant potential to improve the quality of life for individuals with mobility limitations. Currently, the majority of research on…

Robotics · Computer Science 2025-08-19 Jian Zhao , Yunlong Lian , Andy M Tyrrell , Michael Gienger , Jihong Zhu

In order to provide therapy in a functional context, controls for wearable robotic orthoses need to be robust and intuitive. We have previously introduced an intuitive, user-driven, EMG-based method to operate a robotic hand orthosis, but…

We present a method for EMG-driven teleoperation of non-anthropomorphic robot hands. EMG sensors are appealing as a wearable, inexpensive, and unobtrusive way to gather information about the teleoperator's hand pose. However, mapping from…

Robotics · Computer Science 2019-03-07 Cassie Meeker , Matei Ciocarlie

Surface electromyography (s-EMG) sensors are a promising way to control upper-limb prostheses. However a training session is necessary in order to set up the controller that will make s-EMG based movement possible. All data recorded during…

Other Quantitative Biology · Quantitative Biology 2015-11-25 Marco Lampacrescia

Background The development of a simulation model of full body reaching tasks that can predict endeffector trajectories and joint excursions consistent with experimental data is a non-trivial task. Because of the kinematic redundancy…

Systems and Control · Computer Science 2011-08-10 Daohang Sha , James S Thomas

Soft robots have immense potential given their inherent safety and adaptability, but challenges in soft actuator forces and design constraints have limited scaling up soft robots to larger sizes. Electrothermal shape memory alloy (SMA)…

Remote robot manipulation with human control enables applications where safety and environmental constraints are adverse to humans (e.g. underwater, space robotics and disaster response) or the complexity of the task demands human-level…

Robotics · Computer Science 2020-11-24 Claudia Pérez-D'Arpino , Rebecca P. Khurshid , Julie A. Shah

Dynamic motions are a key feature of robotic arms, enabling them to perform tasks quickly and efficiently. Soft continuum manipulators do not currently consider dynamic parameters when operating in task space. This shortcoming makes…

Robotics · Computer Science 2022-10-19 Oliver Fischer , Yasunori Toshimitsu , Amirhossein Kazemipour , Robert K. Katzschmann

This paper introduces an upper limb postural optimization method for enhancing physical ergonomics and force manipulability during bimanual human-robot co-carrying tasks. Existing research typically emphasizes human safety or manipulative…

Robotics · Computer Science 2025-11-07 Chenzui Li , Yiming Chen , Xi Wu , Giacinto Barresi , Fei Chen

Human can not only support their body during standing or walking, but also support them by hand, so that they can dangle a bar and others. But most humanoid robots support their body only in the foot and they use their hand just to…

Robotics · Computer Science 2024-03-27 Shogo Makino , Kento Kawaharazuka , Masaya Kawamura , Yuki Asano , Kei Okada , Masayuki Inaba

This paper presents a scheme to enhance payload manipulation using a robot collaborating with an overhead crane. In the current industrial practice, when the crane's payload has to be accurately manipulated and located in a desired…

Robotics · Computer Science 2025-08-12 Antonio Rosales , Alaa Abderrahim , Markku Suomalainen , Mikael Haag , Tapio Heikkilä
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