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20222026
most citedA Taxonomy of Semantic Information in Robot-Assisted Disaster Response

10 citations · 25 across the 22 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.RO2023

Imitation learning for sim-to-real transfer of robotic cutting policies based on residual Gaussian process disturbance force model

Jamie Hathaway, Rustam Stolkin, Alireza Rastegarpanah

Robotic cutting, or milling, plays a significant role in applications such as disassembly, decommissioning, and demolition. Planning and control of cutting in real-world scenarios…

cs.RO2023

Haptic-guided assisted telemanipulation approach for grasping desired objects from heaps

Maxime Adjigble, Rustam Stolkin, Naresh Marturi

This paper presents an assisted telemanipulation framework for reaching and grasping desired objects from clutter. Specifically, the developed system allows an operator to select a…

cs.RO2023

A Supervised Machine Learning Approach to Operator Intent Recognition for Teleoperated Mobile Robot Navigation

Evangelos Tsagkournis, Dimitris Panagopoulos, Giannis Petousakis +3

In applications that involve human-robot interaction (HRI), human-robot teaming (HRT), and cooperative human-machine systems, the inference of the human partner's intent is of crit…

cs.RO2023

Towards Reuse and Recycling of Lithium-ion Batteries: Tele-robotics for Disassembly of Electric Vehicle Batteries

Jamie Hathaway, Abdelaziz Shaarawy, Cansu Akdeniz +3

Disassembly of electric vehicle batteries is a critical stage in recovery, recycling and re-use of high-value battery materials, but is complicated by limited standardisation, desi…

cs.RO2023★ 9 cited

Learning robotic milling strategies based on passive variable operational space interaction control

Jamie Hathaway, Alireza Rastegarpanah, Rustam Stolkin

This paper addresses the problem of robotic cutting during disassembly of products for materials separation and recycling. Waste handling applications differ from milling in manufa…

cs.RO2023★ 4 cited

Robot Health Indicator: A Visual Cue to Improve Level of Autonomy Switching Systems

Aniketh Ramesh, Madeleine Englund, Andreas Theodorou +2

Using different Levels of Autonomy (LoA), a human operator can vary the extent of control they have over a robot's actions. LoAs enable operators to mitigate a robot's performance…