Max Robotics — Global Service Robot Directory + US Certification

About

Zilin Si is a leading researcher at the intersection of tactile sensing, simulation, and robotic manipulation. Their work centers on bridging the sim-to-real gap for tactile-based robotics, with major contributions in developing high-fidelity sensor models and multisensory datasets. Si created **Taxim**, an example-based simulation model for GelSight tactile sensors (83 citations), enabling realistic, high-speed tactile simulation for system verification and large-scale data collection. They also co-developed **ObjectFolder 2.0** (59 citations), a multisensory object dataset with visual, acoustic, and tactile modalities that advances sim-to-real transfer. In shape perception, Si introduced **ShapeMap 3-D** (50 citations), which fuses dense touch and vision for efficient 3-D object mapping, addressing occlusion challenges in manipulation. Their work on grasp stability prediction (29 citations) leverages sim-to-real transfer from tactile sensing, while **RobotSweater** (18 citations) pioneers scalable, machine-knitted tactile skins for robots. Most recently, **DeltaHands** (14 citations) presents a synergistic dexterous hand framework using Delta robots. With over 300 total citations, Si’s research is foundational for enabling robots to perceive and interact with the physical world through realistic tactile simulation and multisensory learning.