Mengqi Tian

Chinese Academy of Sciences, Technology and Engineering Center for Space Utilization

Papers

Total Citations

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About

Mengqi Tian is a robotics researcher specializing in dual-arm robotic systems, with a focus on motion planning, obstacle avoidance, and compliant control in complex, unstructured environments. Their most-cited work, "Obstacle Avoidance Path Planning for the Dual-Arm Robot Based on an Improved RRT Algorithm" (2022, 47 citations), addresses a critical challenge in automated production: enabling dual-arm manipulators—which offer larger workspaces and greater load capacity than single-arm robots—to coordinate motion efficiently and safely. This contribution is foundational for advancing multi-arm robot collaboration in manufacturing. Tian further explores human-robot interaction in "Compliant Control of Dual-Arm Robot in an Unknown Environment" (2022, 4 citations), tackling the growing demand for robots capable of safe, adaptive physical interaction in tasks like grinding, massage, and cooperative assembly. By developing control strategies that allow dual-arm systems to operate effectively without prior environmental knowledge, Tian’s work bridges the gap between rigid automation and flexible, human-aware robotics. Their research is pivotal for next-generation industrial and service robots that must work alongside humans in dynamic settings.