Papers
8
Total Citations
1,103
H-Index
8
About
Mikael Jorda is a leading roboticist whose research sits at the intersection of tactile sensing, dexterous manipulation, and safe human-robot interaction. He is best known for developing a hierarchically patterned, bioinspired electronic skin that can detect the direction of applied pressure—a breakthrough for robotic grasping and slip detection, which has garnered over 888 citations. His work on UniGrasp introduced a unified deep learning model for multifingered robotic hands, enabling grasp generalization across diverse gripper geometries and earning 110 citations. Jorda has also made foundational contributions to force control stability, pioneering passivity-based approaches that ensure safe and stable robot-environment interaction, even in time-delayed teleoperation systems. His comprehensive formulation for whole-body control—integrating tasks, posture, constraints, and balance—has become a reference for high-dimensional robot control. With a portfolio of highly cited papers and a focus on closing the loop between sensing, control, and autonomy, Jorda’s work is shaping the next generation of robots that can touch, feel, and interact with the world as adeptly as humans.
Research Focus
Key Achievements
Top Papers
- 1
- 2UniGrasp: Learning a Unified Model to Grasp With Multifingered Robotic Hands110 citations · 2020
- 3Passivity-based stability in explicit force control of robots32 citations · 2017
- 4Closing the Force Loop to Enhance Transparency in Time-delayed Teleoperation19 citations · 2020
- 5
- 6New passivity observers for improved robot force control14 citations · 2017
- 7Local Autonomy-Based Haptic-Robot Interaction With Dual-Proxy Model13 citations · 2022
- 8Contact-Driven Posture Behavior for Safe and Interactive Robot Operation11 citations · 2019