The University of Texas at Arlington-based Texas Manufacturing Assistance Center, known as TMAC, is helping the state's manufacturers reduce pollution with real-time sensors that track their environmental impact. The innovative effort is producing results that could transform how companies protect air and water quality. The program recently earned TMAC an Environmental Excellence award from the Texas Commission on Environmental Quality issued by Governor Greg Abbott for technical innovation.

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.