Artem Molchanov

University of Southern California

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

6
H-Index
8
Papers
326
Total Citations
41
Avg Citations/Paper
🏆 Most Cited Paper
Force estimation and slip detection/classification for grip control using a biomimetic tactile sensor
215 citations · 2015
📈 Most Prolific Year: 2015 (3 Papers)
🤝 Key Collaborators: 27
🏛 Institutions: University of Southern California

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago