Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
Flipped classroom integrated with team-based learning enhances surgical skills in ophthalmology residency training: a randomized controlled trial. [PDF]
Wang Z +8 more
europepmc +1 more source
Information Transmission Strategies for Self‐Organized Robotic Aggregation
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
Complete Issue Volume 10 Issue 2
Editor, Journal of the Scholarship of Teaching and Learning
doaj
Practice and Effectiveness Analysis of Multimodal Integrated Teaching Methods in Neurosurgery Clinical Teaching. [PDF]
Xia D, Hu Z, Yuan J, Wu D, Lai N, Jin Y.
europepmc +1 more source
This article introduces a soft wearable eyelid sling device incorporating a hydraulic soft artificial muscle (SAM) for achieving complete closure of an eyelid. The SAM is driven by a cam mechanism that provides a displacement profile closely matched with those of a healthy eyelid.
Patrick Pruscino +7 more
wiley +1 more source
Complete Issue Volume 8 Issue 1
Editor, Journal of the Scholarship of Teaching and Learning
doaj
Developing early-career clinical educators - a qualitative study of a pedagogical internship track for junior doctors in Sweden. [PDF]
Ramo T, Pålsson P, Wallberg H, Hult HV.
europepmc +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Complete Issue Volume 10 Issue 3
Editor, Journal of the Scholarship of Teaching and Learning
doaj

