Barnabas Gavin Cangan

Barnabas Gavin Cangan

Barnabas Gavin Cangan

Student / Programme Doctorate at D-MAVT

ETH Zürich

Professur für Robotik

CLA F 3

Tannenstrasse 3

8092 Zürich

Switzerland

Additional information

Research area

Dexterous Manipulation

  • State estimation and control of a dexterous robotic hand
  • Online hand pose tracking and retargeting of human hand poses to robot hands
  • Learning-based dexterous manipulation
  • Task-specific pulley design generation for tendon-driven systems (RoboSoft 2024)

Model-based Sensing

  • FEM model-based disturbance sensing in soft robots (IROS 2022)
  • Multi-tap resistive sensing for proprioception in soft robots (RA-L/ICRA 2024)
  • Vision-controlled 3D printing of functional soft-rigid hybrid systems (Nature)
  • Proprioception in soft robots using capacitive touch sensing

Vision-based Reconstruction

  • Online key point estimation of deformable robots (Adv. Intelligent Sys.)
  • Vision-based rapid aerial grasping (IROS 2022)

Profile:

Roboticist specializing in sensor fusion, motion planning, computer vision, and machine learning. Demonstrated expertise in developing hardware prototypes and algorithms, with a solid foundation in systems engineering.

Academic experience:

  • 2021–current PhD in Mechanical Engineering, ETH Zürich, Zürich, Switzerland
  • 2017–2019 MS in Electrical Engineering, Virginia Tech, USA
  • 2010–2014 BEng in Electrical Engineering, Anna University, India

Work experience:

  • 2019–2021 Robotics Engineer at Dexai Robotics, Boston, MA, USA
  • 2016–2017 Automotive Software Engineer, Bosch, Plymouth, MI, USA
  • 2014–2016 Automotive Software Engineer, Bosch, Coimbatore, India
CV PDF

 

Research Highlights

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Getting the Ball Rolling: Learning a Dexterous Policy for a Biomimetic Tendon-Driven Hand
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Task-defined Pulley Design for Nonlinearly Coupled Tendon-driven Actuation
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Multi-Tap Resistive Sensing and FEM Modeling Enables Shape and Force Estimation in Soft Robots
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Model-Based Disturbance Estimation for a Fiber-Reinforced Soft Manipulator using Orientation Sensing

Publications

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