63 citations · 102 across the 18 of their papers we have counts for
18 papers
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 reformulation of collision avoidance algorithm based on artificial potential fields for fixed-wing UAVs in a dynamic environment
Astik Srivastava, P. B. Sujit
As mini UAVs become increasingly useful in the civilian work domain, the need for a method for them to operate safely in a cluttered environment is growing, especially for fixed-wi…
A Deep Learning Approach To Estimation Using Measurements Received Over a Network
Shivangi Agarwal, Sanjit K. Kaul, Saket Anand +1
We propose a novel deep neural network (DNN) based approximation architecture to learn estimates of measurements. We detail an algorithm that enables training of the DNN. The DNN e…
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…
Multi-Agent Deep Reinforcement Learning For Persistent Monitoring With Sensing, Communication, and Localization Constraints
Manav Mishra, Prithvi Poddar, Rajat Agarwal +3
Determining multi-robot motion policies for persistently monitoring a region with limited sensing, communication, and localization constraints in non-GPS environments is a challeng…