Amit Bhatia
Goodrich Corporation
15 Papers
61 Citations
Amit Bhatia is an academic researcher from Goodrich Corporation. The author has contributed to research in topics: Motion planning & Mobile robot. The author has an hindex of 9, co-authored 15 publications. Previous affiliations of Amit Bhatia include University of California, Los Angeles & Rice University.
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Papers
Motion Planning with Complex Goals
TL;DR: This article describes approach for solving motion planning problems for mobile robots involving temporal goals and a wide variety of techniques have been pro posed over the last two decades to solve such problems.
151
Dubins Trajectory Tracking using Commercial Off-the-Shelf Autopilots
Amit Bhatia,Michelangelo Graziano,Sertac Karaman,Roberto Naldi,Emilio Frazzoli +4 more
- 18 Aug 2008
TL;DR: An approach designed for implementation of controllers desgined for Dubins vehicles on a class of COTS autopilots is presented, which provides an efficient way for systematic implementation of cooperative control algorithms on unmanned air vehicles without sacrificing their correctness or performance.
26
Patent
Autonomous cargo handling system and method
Amit Bhatia,Zamira A. Daw Perez,Alessandro Pinto,Julian Ryde +3 more
- 05 May 2017
TL;DR: In this paper, an autonomous cargo handling system consisting of one or more sensing agents in electronic communication with each other is presented. But the system is not designed for the handling of a large number of vehicles.
15
Decentralized algorithm for minimum-time rendezvous of Dubins vehicles
Amit Bhatia,Emilio Frazzoli +1 more
- 11 Jun 2008
TL;DR: A decentralized algorithm is proposed that solves the problem of minimum-time rendezvous of a team of Dubins vehicle at a pre-assigned destination point starting from arbitrary initial configurations and is proved to be correct by establishing some important facts for the shortest path length of aDubins vehicle as a function of arrival angle at the destination point.
Sampling-Based Resolution-Complete Algorithms for Safety Falsification of Linear Systems
Amit Bhatia,Emilio Frazzoli +1 more
- 22 Apr 2008
TL;DR: In this article, the authors introduce the notion of resolution completeness for analysis of safety falsification algorithms and present sampling-based resolution-complete algorithms for discrete-time linear time-invariant systems.