Results 161 to 170 of about 7,419,774 (244)
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 +8 more
wiley +1 more source
Dynamic Seat Assessment for Enabled Restlessness of Children with Learning Difficulties. [PDF]
Stanić V +3 more
europepmc +1 more source
Liquid Crystalline Elastomers in Soft Robotics: Assessing Promise and Limitations
Liquid crystalline elastomers (LCEs) are programmable soft materials that undergo large, anisotropic deformation in response to external stimuli. Their molecular alignment encodes directional actuation in a monolithic structure, making them long‐standing candidates for soft robotic systems.
Justin M. Speregen, Timothy J. White
wiley +1 more source
Educational robotics as a pedagogical resource for K-12 students with learning difficulties. [PDF]
da Silva MDGT +4 more
europepmc +1 more source
Exploring Senior Phase teachers' competencies in supporting learners with specific learning difficulties: Implications for inclusive education. [PDF]
Mavuso MF.
europepmc +1 more source
An enhanced universal gripper combining rigid mechanics with self‐adaptable fingers is presented for industrial automation. The novel six‐bar linkage with integrated compliant pad eliminates mechanical interference while enabling passive shape adaptation.
Muhammad Usman Khalid +7 more
wiley +1 more source
Associations Between ADHD Symptom Dimensions and Cognition in Children With ADHD and Learning Difficulties. [PDF]
Cai Y, Holmes J, Gathercole SE.
europepmc +1 more source
Predicting Mathematical Learning Difficulties Using Fundamental Calculative Ability Test (FCAT). [PDF]
Ohba S +4 more
europepmc +1 more source
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
Children's Reasoning about Challenging Social Exclusion of Peers with Learning Difficulties. [PDF]
Barth C, Killen M, Grütter J.
europepmc +1 more source

