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Tencent's research division in China has established itself as a formidable force at the intersection of robotics, artificial intelligence, and advanced sensing technologies, pursuing innovations that bridge the gap between intelligent systems and the physical world. With a research portfolio spanning flexible electronics, tactile perception, reinforcement learning, and autonomous robotics, Tencent's teams are driving fundamental advances that directly enable next-generation robotic systems capable of nuanced environmental interaction. A defining strength of Tencent's research is its prolific work in electronic skin and tactile sensing technologies. From iontronic pressure sensors achieving extraordinary sensitivity through nanoscale electric double layers, to large-scale flexible tactile arrays, triboelectric sensors capable of simultaneous material and texture recognition, and bio-inspired platypus-like electro-mechanosensory fingers, Tencent's contributions are reshaping how robots perceive and respond to physical contact. These publications have collectively garnered hundreds of citations, with their 2022 quasi-homogeneous flexible pressure sensor alone accumulating over 400 citations, signaling broad community impact. Beyond sensing hardware, Tencent researchers have made significant contributions to reinforcement learning for robotics, including pioneering end-to-end active object tracking deployed in real-world settings, and curriculum-guided hindsight experience replay techniques that substantially improve agent learning under sparse reward conditions. Their work on wheel-legged robot balance control — approached through both classical optimal control and learning-based adaptive strategies — demonstrates the team's versatility across theoretical and experimental fronts. Complementing these efforts are advances in sampling-based path planning, redundant manipulator control, and optical micro/nanofiber sensing for wearable and robotic interfaces. Collectively, Tencent's research enterprise represents an exciting, multidisciplinary environment where prospective collaborators and students can engage with cutting-edge challenges spanning materials science, machine learning, and intelligent robotics systems.