Narendiran Anandan — accepted AI-conference papers

2026

CapTac: Robust Capacitive Sensing for Distributed Force Mapping in Parallel Robotic Grasping

Serkan Ergun, Rishabh B. Mishra, Narendiran Anandan, Tobias Mitterer, Virgilio Mattoli, Hubert Zangl

RA-L 2026

For reliably grasping sensitive and delicate objects, measuring the distribution of normal and shear forces across contact areas is crucial-particularly for slip detection and preventing damage of delicate objects. This necessitates sensors that are easily integrated into robotic fingers (small form

Cited by 1 Source ↗code ↗Scholar ↗

2023

Wireless Capacitive Tactile Sensor Arrays for Sensitive/Delicate Robot Grasping

Serkan Ergun, Tobias Mitterer, Sherjeel Khan, Narendiran Anandan, Rishabh B. Mishra, Jürgen Kosel +1

IROS 2023poster

Uncertainties in grasp prediction for unknown, arbitrarily shaped objects in cluttered environments and un- certainty of the kinematics (e.g., series elastic robots or soft robots) can lead to poor grasps. For delicate objects, such poor grasps may damage the objects when they are dropped or when hi…

Cited by 3 Source ↗Scholar ↗