Santosh V Narayan — accepted AI-conference papers

2023

Contingency-Aware Task Assignment and Scheduling for Human-Robot Teams

Neel Dhanaraj, Santosh V. Narayan, Stefanos Nikolaidis, Satyandra K. Gupta

ICRA 2023poster

We consider the problem of task assignment and scheduling for human-robot teams to enable the efficient completion of complex problems, such as satellite assembly. In high-mix, low volume settings, we must enable the human-robot team to handle uncertainty due to changing task requirements, potential…

Cited by 11 Source ↗Scholar ↗

2023

Physics-Informed Learning to Enable Robotic Screw-Driving Under Hole Pose Uncertainties

Omey M. Manyar, Santosh V Narayan, Rohin Lengade, Satyandra K. Gupta

IROS 2023poster

Screw-driving is an important operation in numerous applications. In many situations, hole pose cannot be estimated very accurately. Autonomous screw-driving cannot be performed by traditional industrial manipulators in position control mode when the hole pose uncertainty is high. This paper present…

Cited by 3 Source ↗Scholar ↗