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 +7 more
wiley +1 more source
Comprehensive eco-geo-environmental assessment of the Sichuan-Yunnan ecological barrier zone using a random forest model. [PDF]
Sci RepYang X +5 more
europepmc +1 more source
Advanced Robotics Research, EarlyView.Here, we present a textile, wearable capacitive interface enabling multidirectional remote control by dynamically modulating electrode overlap and spacing via a freely gliding upper electrode. A forearm‐mounted prototype drives robotic and media tasks with 12–15 ms latency, maintains < 0.8% drift after 500 cycles, and remains stably functional at 90 ...
Cagatay Gumus +8 more
wiley +1 more source
Assessment of Landslide Activity and Hazard Recorded in Tree Rings-Examples from the High-Risk Vernazza Catchment (Liguria, Italy). [PDF]
Sensors (Basel)Malik I +8 more
europepmc +1 more source
Durability of Soft Pneumatic Actuators: A Review and Benchmarking Protocol
Advanced Robotics Research, EarlyView.Lack of durability is a key challenge hindering the broad scale adoption of soft pneumatic actuators (SPAs) in automation industries. This review provides a comprehensive overview of existing research on SPA durability, introduces a standardized durability benchmarking protocol to consolidate the testing of SPAs, and outlines promising directions for ...
Dickson Chiu Yu Wong +2 more
wiley +1 more source
Integrating RUSLE, AHP, GIS, and cloud-based geospatial analysis for soil erosion assessment under mediterranean conditions. [PDF]
Sci RepFadl ME +11 more
europepmc +1 more source
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 +4 more
wiley +1 more source
Distinct clinical profiles and outcomes in young versus older adults with acute coronary syndrome: a comparative cohort study. [PDF]
J Cardiothorac SurgWang H, Xiang Y, Chen L, Ni Y.
europepmc +1 more source
Modular, Textile‐Based Soft Robotic Grippers for Agricultural Produce Handling
Advanced Robotics Research, EarlyView.This article introduces textile‐based pneumatic grippers that transform simple textiles into robust bending actuators. Detailed experiments uncover how cut geometry and fabric selection shape performance. Successful handling of fragile agricultural items showcases the potential of textile robotics for safe, scalable automation in food processing and ...
Zeyu Hou +4 more
wiley +1 more source
Coupled modeling framework for proactive design of debris-flow barrier placements. [PDF]
Sci RepLee DH, Lee SR, Park JY.
europepmc +1 more source