Max Robotics — Global Service Robot Directory + US Certification

About

Jiansheng Peng is a leading researcher in robotics and autonomous systems, with a primary focus on Simultaneous Localization and Mapping (SLAM) in dynamic environments. His work addresses a critical limitation of traditional SLAM systems, which assume static surroundings, by developing novel approaches that enable robots to operate reliably in real-world, changing scenes. Peng’s most impactful contribution is the PR-SLAM system, a parallel real-time dynamic SLAM method based on semantic segmentation, which has garnered 17 citations since its 2024 publication. He has also advanced robot path planning with an improved Double Deep Q Network algorithm that optimizes reward redistribution, and introduced DFD-SLAM, a visual SLAM system that leverages deep features for enhanced accuracy and robustness. His research extends to industrial applications, including Fast UOIS for unseen object instance segmentation in robotic grasping and an RRT autonomous detection algorithm that integrates with Karto SLAM. Peng’s comprehensive review of dynamic SLAM visual odometry further underscores his expertise. With a growing citation impact and a focus on bridging theoretical advances with practical deployment, Peng is shaping the future of autonomous mobile robotics in complex environments.