A research paper by scientists at Beijing Institute of Technology proposed an efficient and safe perception method tailored for the look-and-step behavior of bipedal robots.

A research article published by the Peking University presented a control framework for exoskeletons based on environmental perception, which effectively integrates environmental information and human kinematic data, improves the accuracy and lead time of transition detection, thereby enhancing smooth switching of control strategies across different terrains. Additionally, the adoption of a learning-free method eliminates the need for data collection and model training, demonstrating strong generalization capabilities across users.

Two research teams from the Universitat Jaume I and the Public University of Navarra have successfully tested new refrigerant mixtures, systems, and components that significantly enhance energy efficiency in this sector. This industry, which accounts for 7.8% of global greenhouse gas emissions, sees an annual increase of over 170 million new domestic units.