7 citations · 8 across the 2 of their papers we have counts for
3 papers
A Dynamic Heterogeneous Team-based Non-iterative Approach for Online Pick-up and Just-In-Time Delivery Problems
Shridhar Velhal, Srikrishna B R, Mukunda Bharatheesha +1
This paper presents a non-iterative approach for finding the assignment of heterogeneous robots to efficiently execute online Pickup and Just-In-Time Delivery (PJITD) tasks with op…
RRT-CoLearn: towards kinodynamic planning without numerical trajectory optimization
Wouter Wolfslag, Mukunda Bharatheesha, Thomas Moerland +1
Sampling-based kinodynamic planners, such as Rapidly-exploring Random Trees (RRTs), pose two fundamental challenges: computing a reliable (pseudo-)metric for the distance between t…
Team Delft's Robot Winner of the Amazon Picking Challenge 2016
Carlos Hernandez, Mukunda Bharatheesha, Wilson Ko +13
This paper describes Team Delft's robot, which won the Amazon Picking Challenge 2016, including both the Picking and the Stowing competitions. The goal of the challenge is to autom…