Papers
4
Total Citations
115
H-Index
3
About
Alexis Maslyczyk is a pioneering roboticist whose work bridges tactile sensing, humanoid teleoperation, and novel actuator design. Her research centers on enabling robots to interact with the physical world with greater dexterity, resilience, and efficiency. Maslyczyk’s most impactful contribution is the development of a highly sensitive multimodal capacitive tactile sensor (2017, 60 citations), a breakthrough that addresses the critical need for high-performance tactile feedback in robotic grippers handling unstructured, flexible objects. She further advanced robotic manipulation by introducing a method for grasp stability assessment through unsupervised feature learning of tactile images (2017, 42 citations), demonstrating how robots can combine vision and touch to handle never-before-seen objects. In a more recent achievement, Maslyczyk tackled the challenge of high-speed, impact-resilient teleoperation of humanoid robots (2024, 10 citations), integrating calibration-free motion capture and low-latency control. She also proposed the programmable permanent magnet actuator (2018), a paradigm-shifting design for low-speed, high-torque applications that dramatically improves energy efficiency. Through these innovations, Maslyczyk is shaping a future where robots can sense, grasp, and move with unprecedented precision and autonomy.
Research Focus
Key Achievements
Top Papers
- 1A highly sensitive multimodal capacitive tactile sensor60 citations · 2017
- 2
- 3High-Speed and Impact Resilient Teleoperation of Humanoid Robots10 citations · 2024
- 4