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Serkan Ergun

4 accepted papers

2026

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

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 1SourcecodeScholar
2023

Wireless Capacitive Tactile Sensor Arrays for Sensitive/Delicate Robot Grasping

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 3SourceScholar
2022

Evaluation of On-Robot Capacitive Proximity Sensors with Collision Experiments for Human-Robot Collaboration

IROS 2022poster

A robot must comply with very restrictive safety standards in close human-robot collaboration applications. These standards limit the robot's performance because of speed reductions to avoid potentially large forces exerted on humans during collisions. On-robot capacitive proximity sensors (CPS) can…

Cited by 5SourceScholar
2021

A Unified Perception Benchmark for Capacitive Proximity Sensing Towards Safe Human-Robot Collaboration (HRC)

ICRA 2021poster

During the co-presence of human workers and robots, measures are required to avoid injuries from undesired contacts. Capacitive Proximity Sensors (CPSs) offer a cost-effective solution to cover the entire robot manipulator with fast close-range perception for HRC tasks, closing the perception gap be…

Cited by 13SourceScholar