2024 IEEE RAS Fellow Class Announced

Congratulations to the following IEEE Robotics and Automation Society (RAS) members who

were elevated to Fellow grade, effective 1 January 2024! Nominees for IEEE Fellow must hold

the grade of Senior Member or Life Senior Member to qualify for elevation to Fellow status.

2024 RAS Fellows Evaluated by RAS

• Chien Cheah — for contributions to task-space robot control and dynamic multi- robot control
• Noah Cowan — for contributions to sensing, navigation, and control in animals and machines
• Mariagrazia Dotoli — for contributions to control of logistics systems in smart cities
• Sami Haddadin — for contributions to robot safety, tactile robots, and interaction control
• George Q Huang — for contributions on digitization framework and cyber-physical analytics for smart manufacturing
• Paul Oh — for contributions to unmanned aerial vehicles and humanoid robotics
• Danail Stoyanov — for contributions to intelligent computer-assisted surgical and diagnostical systems
• Salah Sukkarieh — for contributions to robotic navigation in aerial and agricultural applications
• Sheng Xie — for contribution to robotics for rehabilitation and healthcare

2024 RAS Fellows Evaluated by Other IEEE Societies

• Evaluated by the IEEE Computational Intelligence Society: Long Cheng — for contributions to neural networks for optimization and control
• Evaluated by the IEEE Computer Society: Niklas Karlsson — for technical leadership to vSLAM and online advertising
• Evaluated by the IEEE Computer Society: Zhiyun Lin — for contributions to distributed multi-agent systems and autonomous systems
• Evaluated by the IEEE Computer Society: Fumin Zhang — for contributions to autonomy of robotic sensing networks and control of marine robots
• Evaluated by the IEEE Industrial Electronics Society: Hiroshi Fujimoto — for contributions to control of high-precision systems
• Evaluated by the IEEE Industrial Electronics Society: Toshiyuki Murakami — for contributions to reaction torque observer and power assisted control
• Evaluated by the IEEE Industrial Electronics Society: Chenguang Yang — for contributions to control and learning of mechatronic systems
• Evaluated by the IEEE Industrial Electronics Society: Tao Zhang — for contributions to robot vision perception and adaptive fault- tolerant control
• Evaluated by the IEEE Intelligent Transportation Systems Society: Azim Eskandarian — for contributions to communication and control of intelligent autonomous vehicles
• Evaluated by the IEEE Systems, Man, and Cybernetics Society: Mingcong Deng — for contributions to learning and operator based uncertain nonlinear systems analysis, control, and applications