Results 171 to 180 of about 18,965 (241)

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

Advanced Robotics Research, EarlyView.
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi, Amirreza Davar, Dongyi Wang   +2 more
wiley   +1 more source

It is time to rethink proprioception: From biological feedback to integrable augmentation. [PDF]

J Sport Health Sci
Han J, Xue X, Adams R.
europepmc   +1 more source

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

Advanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar, Zhengtong Xu, Siavash Mahmoudi, Pouya Sohrabipour, Chaitanya Pallerla, Yu She, Wan Shou, Philip Glen Crandall, Dongyi Wang   +8 more
wiley   +1 more source

Vibrotactile augmentation enhances late-phase control in sequential reaching without accuracy costs. [PDF]

Front Hum Neurosci
Mohammadalinezhad Kolahdouz S, Malone Q, Passmore SR, Marotta JJ, Glazebrook CM.   +4 more
europepmc   +1 more source

Muscle Control of an Extra Robotic Digit

Advanced Robotics Research, EarlyView.
This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ, Lucy Dowdall, Francesco Cenciarelli, Kitty Goodridge, Mabel Ziman, Hristo Dimitrov, Danielle Clode, Tamar R. Makin   +7 more
wiley   +1 more source

Surgical Outcomes in Partially Accommodative Esotropia Using Augmented Distance-Angle Averaging With and Without Hyperopic Correction. [PDF]

Am J Ophthalmol
Yehezkeli V, Parunakian E, Meng Q, Demer JL, Suh SY.   +4 more
europepmc   +1 more source

Haptic Wearables as Sensory Replacement, Sensory Augmentation and Trainer for Sensory Impairments– A Review

J. of Neuroeng and Rehab, 2015
Shull Pete, Damian Dana
openaire   +1 more source

Robotic Control for Human–Robot Collaborative Assembly Based on Digital Human Model and Reinforcement Learning

Advanced Robotics Research, EarlyView.
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao, Hongzhou Ai, Wenjun Xu, Zude Zhou, Lihui Wang   +4 more
wiley   +1 more source

Somatosensory augmentation has sustained effects on mediolateral foot placement modulation while walking in people with chronic stroke. [PDF]

Gait Posture
Howard KE, Schonhaut EB, Knight HL, Jacobs CJ, Dean JC.   +4 more
europepmc   +1 more source

Augmenting communication technologies with non-primary sensory modalities

Humans combine their senses to enhance the world around them. While computers have evolved to reflect these sensory demands, only the primary senses of vision and audition (and to an extent, touch) are used in modern communication. This thesis investigated how additional information, such as emotion and navigational assistance, might be communicated ...
openaire   +2 more sources