Pontus Pettersson-Gull

Papers

Total Citations

H-Index

About

Pontus Pettersson-Gull’s research centers on intelligent robotic manipulation, with a particular focus on adaptive grasping systems for industrial and service robotics. His most notable contribution is the development of an intelligent robotic gripper that employs a dual-mode adaptive grasp technique, capable of seamlessly switching between strategies for small and large objects. By integrating an optical motion sensor system that detects object size and shape in real time, his work bridges the gap between rigid automation and flexible, human-like dexterity. This innovation, detailed in his 2018 thesis, has garnered 5 citations and represents a foundational step toward more autonomous and responsive robotic hands. Pettersson-Gull’s approach not only enhances grasping reliability but also reduces the need for pre-programmed object models, making his system highly adaptable to unstructured environments. His work is particularly relevant to the fields of manufacturing, logistics, and assistive robotics, where versatile gripping remains a critical challenge. As a researcher, he continues to explore sensor-driven control strategies that push the boundaries of what robotic end-effectors can achieve in real-world applications.