11 citations · 11 across the 6 of their papers we have counts for
7 papers · 1 filter
The Persistent Robot Charging Problem for Long-Duration Autonomy
Nitesh Kumar, Jaekyung Jackie Lee, Sivakumar Rathinam +3
This paper introduces a novel formulation aimed at determining the optimal schedule for recharging a fleet of heterogeneous robots, with the primary objective of minimizing res…
CAMEL: Learning Cost-maps Made Easy for Off-road Driving
Kasi Vishwanath, P. B. Sujit, Srikanth Saripalli
Cost-maps are used by robotic vehicles to plan collision-free paths. The cost associated with each cell in the map represents the sensed environment information which is often dete…
A Model-free Deep Reinforcement Learning Approach To Maneuver A Quadrotor Despite Single Rotor Failure
Paras Sharma, Prithvi Poddar, P. B. Sujit
Ability to recover from faults and continue mission is desirable for many quadrotor applications. The quadrotor's rotor may fail while performing a mission and it is essential to d…
Target-Following Double Deep Q-Networks for UAVs
Sarthak Bhagat, P. B. Sujit
Target tracking in unknown real-world environments in the presence of obstacles and target motion uncertainty demand agents to develop an intrinsic understanding of the environment…
Risk-Aware Submodular Optimization for Multi-objective Travelling Salesperson Problem
Rishab Balasubramanian, Lifeng Zhou, Pratap Tokekar +1
We introduce a risk-aware multi-objective Traveling Salesperson Problem (TSP) variant, where the robot tour cost and tour reward have to be optimized simultaneously. The robot obta…
UAV Target Tracking in Urban Environments Using Deep Reinforcement Learning
Sarthak Bhagat, Sujit PB
Persistent target tracking in urban environments using UAV is a difficult task due to the limited field of view, visibility obstruction from obstacles and uncertain target motion.…