Nathan Elangovan
According to our database1,
Nathan Elangovan
authored at least 12 papers
between 2019 and 2024.
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2024
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Bibliography
2024
Scalable, Fast, Highly-Accurate Human-to-Robot Skill Transfer for the Dexterous, Efficient Operation of Histology Microtomes.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024
2023
Scalable. Intuitive Human to Robot Skill Transfer with Wearable Human Machine Interfaces: On Complex, Dexterous Tasks.
IROS, 2023
On Human Grasping and Manipulation in Kitchens: Automated Annotation, Insights, and Metrics for Effective Data Collection.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
2022
An Accessible, Open-Source Dexterity Test: Evaluating the Grasping and Dexterous Manipulation Capabilities of Humans and Robots.
Frontiers Robotics AI, 2022
Comparing Human and Robot Performance in the Execution of Kitchen Tasks: Evaluating Grasping and Dexterous Manipulation Skills.
Proceedings of the 21st IEEE-RAS International Conference on Humanoid Robots, 2022
2021
Improving Robotic Manipulation Without Sacrificing Grasping Efficiency: A Multi-Modal, Adaptive Gripper With Reconfigurable Finger Bases.
IEEE Access, 2021
A Multi-Modal Robotic Gripper with a Reconfigurable Base: Improving Dexterous Manipulation without Compromising Grasping Efficiency.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
2020
A Modular, Accessible, Affordable Dexterity Test for Evaluating the Grasping and Manipulation Capabilities of Robotic Grippers and Hands.
Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2020
2019
On Alternative Uses of Structural Compliance for the Development of Adaptive Robot Grippers and Hands.
Frontiers Neurorobotics, 2019
Proceedings of the 28th IEEE International Conference on Robot and Human Interactive Communication, 2019
An Intuitive, Affordances Oriented Telemanipulation Framework for a Dual Robot Arm Hand System: On the Execution of Bimanual Tasks.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
Employing IMU and ArUco Marker Based Tracking to Decode the Contact Forces Exerted by Adaptive Hands.
Proceedings of the 19th IEEE-RAS International Conference on Humanoid Robots, 2019