Artem Molchanov
Papers
8
Total Citations
326
H-Index
6
About
Artem Molchanov’s research bridges two critical frontiers in robotics: dexterous manipulation and autonomous multi-robot systems. His most impactful work centers on biomimetic tactile sensing, where he pioneered techniques for force estimation and slip detection using the BioTac sensor—a line of research that has garnered over 215 citations. By enabling robots to estimate finger forces and classify slip events in real time, Molchanov’s grip force controller brought human-like touch sensitivity to robotic hands, directly advancing the reliability of autonomous grasping. He further extended this work with the BiGS (BioTac Grasp Stability Dataset), a foundational resource for evaluating grasp success. Beyond manipulation, Molchanov has made notable contributions to ocean monitoring, developing “active drifters”—low-cost, depth-controllable Lagrangian drifters that exploit vertically stratified currents for coordinated multi-robot ocean sampling. His work on synthetically trained neural networks for learning human-readable plans from demonstrations also showcases his versatility, linking perception to program synthesis. With a publication record spanning IEEE ICRA, IROS, and Ocean Engineering, Molchanov’s research exemplifies how tactile intelligence and swarm robotics can solve real-world challenges, from industrial gripping to environmental monitoring.
Research Focus
Key Achievements
Top Papers
- 1
- 2Contact localization on grasped objects using tactile sensing26 citations · 2016
- 3BiGS: BioTac Grasp Stability Dataset25 citations · 2016
- 4Circling the Seas: Design of Lagrangian Drifters for Ocean Monitoring22 citations · 2016
- 5Active drifters: Towards a practical multi-robot system for ocean monitoring19 citations · 2015
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