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Barnabas Gavin Cangan

6 accepted papers

2025

Beyond Anthropomorphism: Enhancing Grasping and Eliminating a Degree of Freedom by Fusing the Abduction of Digits Four and Five

IROS 2025

This paper presents the SABD hand, a 16-degree-of-freedom (DoF) robotic hand that departs from purely anthropomorphic designs to achieve an expanded grasp envelope, enable manipulation poses beyond human capability, and reduce the required number of actuators. This is achieved by combining the adduc

Cited by 0SourceScholar
2025

Model-Based Capacitive Touch Sensing in Soft Robotics: Achieving Robust Tactile Interactions for Artistic Applications

RA-L 2025

In this letter, we present a touch technology to achieve tactile interactivity for human-robot interaction (HRI) in soft robotics. By combining a capacitive touch sensor with an online solid mechanics simulation provided by the SOFA framework, contact detection is achieved for arbitrary shapes. Furt

Cited by 5SourceScholar
2025

ORCA: An Open-Source, Reliable, Cost-Effective, Anthropomorphic Robotic Hand for Uninterrupted Dexterous Task Learning

IROS 2025

General-purpose robots should possess humanlike dexterity and agility to perform tasks with the same versatility as us. A human-like form factor further enables the use of vast datasets of human-hand interactions. However, the primary bottleneck in dexterous manipulation lies not only in software bu

Cited by 23SourceScholar
2024

Multi-Tap Resistive Sensing and FEM Modeling Enables Shape and Force Estimation in Soft Robots

RA-L 2024

We address the challenge of reliable and accurate proprioception in soft robots, specifically soft robots with tight packaging constraints and relying only on internally embedded sensors. While various sensing approaches with single sensors have commonly been tried using a constant curvature assumpt

Cited by 16SourceScholar
2022

Model-Based Disturbance Estimation for a Fiber-Reinforced Soft Manipulator using Orientation Sensing

IROS 2022poster

To aid in real-world situations, soft robots need to be able to estimate their state and external interactions based on proprioceptive sensors. Estimating disturbances allows a soft robot to perform desirable force control. However, even in the case of rigid manipulators, force estimation at the end…

Cited by 11SourceScholar