This study provides a useful contribution to understanding how wearable augmentation devices interact with human proprioception, using a longitudinal design over a single session. Results demonstrate ...
As benefits costs climb and employee preferences evolve, learn how HR leaders are aligning their strategies to meet changing priorities in this Trendline. Employees who had such opportunities also ...
This study presents a bio-inspired control framework for soft robots, enhancing tracking accuracy by over 44% under disturbances while maintaining stability.
Physical AI refers to intelligent systems that can sense, reason, and act inside the physical world. These systems do not remain limited to screens, servers, or digital spaces. Instead, they operate ...
DX Learning Solutions is pleased to announce a new strategic partnership with Avocado Learning Experiences to deliver DX’s ...
Abstract: An adaptive optimal consensus control design technique is presented for uncertain multiagent systems with prescribed performance guarantees using reinforcement learning (RL) algorithm. First ...
Abstract: Modeling the learning dynamic of multi-agent systems has long been a crucial issue for understanding the emergence of collective behavior. In public goods games, agents interact in multiple ...