Sami Moisio

Lappeenranta-Lahti University of Technology

Papers

Total Citations

157

H-Index

About

Sami Moisio is a leading researcher in robot grasping and manipulation, with a focus on realistic simulation and tactile sensing. His work addresses a critical challenge in robotics: enabling robots to interact with objects as humans do, through precise grasping and touch feedback. Moisio’s most influential contribution is the development of **OpenGRASP**, a comprehensive toolkit for robot grasping simulation, which has garnered **over 120 citations** and become a foundational resource for researchers in the field. This toolkit provides a modular, extensible platform that integrates with popular simulation environments, allowing for the testing and validation of grasping algorithms without the need for physical hardware. Beyond OpenGRASP, Moisio has advanced the simulation of tactile sensors, modeling **soft contacts with full friction** to create more realistic interactions between robotic grippers and objects. His 2012 paper on this topic, with **27 citations**, demonstrates how accurate touch sensor simulation can bridge the gap between virtual and real-world manipulation. Through his work, Moisio has significantly enhanced the fidelity of robotic simulations, enabling safer and more effective grasping strategies for applications ranging from industrial automation to assistive robotics.