This paper presents a mobile manipulator system for performing autonomous screw-driving in the presence of uncertainties in the hole estimates.

This paper presents a mobile manipulator system for performing autonomous screw-driving in the presence of uncertainties in the hole estimates.

11 окт. 2023 г. · Screw-driving is an important operation in numerous applications. In many situations, hole pose cannot be estimated very accurately.

To deal with uncertainties, the robotics community has explored the benefits of using compliance in both the tool. (passive) and the manipulator (active).

The aim of the investigation described here was to determine the maximum admissible angle of deviation between the bolt and hole axis when screw driving.

My research is centered around integrating physics-informed learning methods into robotics, focusing on enhancing robots' capability to manipulate objects with ...

Physics-Informed Learning to Enable Robotic Screw-Driving Under Hole Pose Uncertainties. OM Manyar, SV Narayan, R Lengade, SK Gupta. 2023 IEEE/RSJ International ...

Lengade, and S. K. Gupta, “Physics- informed learning to enable robotic screw-driving under hole pose un- certainties,” in 2023 IEEE/RSJ International ...

Physics-Informed Learning to Enable Robotic Screw-Driving Under Hole Pose Uncertainties · Omey M. Manyar, Santosh V. Narayan, Rohin Lengade, Satyandra K ...

Santosh V. Narayan's 5 research works with 7 citations, including: Physics-Informed Learning to Enable Robotic Screw-Driving Under Hole Pose Uncertainties.