Martin Peris
Papers
1
Total Citations
10
H-Index
1
About
Martin Peris is a researcher whose work sits at the intersection of human-robot interaction and computer vision, with a particular focus on intuitive control systems. His most notable contribution is in the field of gesture-based robot teleoperation, where he developed a real-time system capable of reliably discriminating a large vocabulary of two-handed gestures. In his highly cited 2012 paper, Peris introduced an innovative application of the Kernel Orthogonal Mutual Subspace Method (KOMSM), extending it with volume subspaces to achieve robust, both-hand gesture recognition. This work directly addressed the challenge of creating more natural and efficient interfaces for remote robot control, enabling operators to command complex robotic actions using simultaneous hand movements. While his citation count of 10 reflects a specialized technical audience, the impact of his research lies in its practical engineering contribution to teleoperation systems. Peris’s approach demonstrated how advanced subspace methods could be adapted for real-time, multi-gesture recognition, laying groundwork for future developments in non-verbal human-robot communication and intuitive control interfaces.
Research Focus
Key Achievements
Top Papers
- 1