M
Maxim Likhachev
Researcher at Carnegie Mellon University
Publications - 234
Citations - 12727
Maxim Likhachev is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Motion planning & Robot. The author has an hindex of 48, co-authored 210 publications receiving 11162 citations. Previous affiliations of Maxim Likhachev include University of Pennsylvania & Honeywell.
Papers
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Autonomous Driving in Urban Environments: Boss and the Urban Challenge.
Chris Urmson,Joshua Anhalt,Drew Bagnell,Christopher R. Baker,Robert Bittner,Michael Clark,John M. Dolan,D Duggins,Tugrul Galatali,Christopher Geyer,Michele Gittleman,Sam Harbaugh,Martial Hebert,Thomas M. Howard,Sascha Kolski,Alonzo Kelly,Maxim Likhachev,Matthew McNaughton,Nick Miller,Kevin Peterson,Brian Pilnick,Ragunathan Rajkumar,Paul E. Rybski,Bryan Salesky,Young-Woo Seo,Sanjiv Singh,Jarrod M. Snider,Anthony Stentz,William Whittaker,Ziv Wolkowicki,Jason Ziglar,Hong Bae,Thomas G. Brown,Daniel Demitrish,Bakhtiar Brian Litkouhi,Jim Nickolaou,Varsha Sadekar,Wende Zhang,Joshua Struble,Michael Taylor,Michael Darms,Dave Ferguson +41 more
TL;DR: This dissertation aims to provide a history of web exceptionalism from 1989 to 2002, a period chosen in order to explore its roots as well as specific cases up to and including the year in which descriptions of “Web 2.0” began to circulate.
Journal IssueDOI
Autonomous driving in urban environments: Boss and the Urban Challenge
Chris Urmson,Joshua Anhalt,Drew Bagnell,Christopher R. Baker,Robert Bittner,Michael Clark,John M. Dolan,D Duggins,Tugrul Galatali,Christopher Geyer,Michele Gittleman,Sam Harbaugh,Martial Hebert,Thomas M. Howard,Sascha Kolski,Alonzo Kelly,Maxim Likhachev,Matthew McNaughton,Nick Miller,Kevin Peterson,Brian Pilnick,Ragunathan Rajkumar,Paul E. Rybski,Bryan Salesky,Young-Woo Seo,Sanjiv Singh,Jarrod M. Snider,Anthony Stentz,William Whittaker,Ziv Wolkowicki,Jason Ziglar,Hong Bae,Thomas G. Brown,Daniel Demitrish,Bakhtiar Brian Litkouhi,Jim Nickolaou,Varsha Sadekar,Wende Zhang,Joshua Struble,Michael Taylor,Michael Darms,Dave Ferguson +41 more
TL;DR: Boss is an autonomous vehicle that uses on-board sensors to track other vehicles, detect static obstacles, and localize itself relative to a road model using a spiral system development process with a heavy emphasis on regular, regressive system testing.
Proceedings Article
ARA*: Anytime A* with Provable Bounds on Sub-Optimality
TL;DR: An anytime heuristic search, ARA*, is proposed, which tunes its performance bound based on available search time, and starts by finding a suboptimal solution quickly using a loose bound, then tightens the bound progressively as time allows.
Journal ArticleDOI
Fast replanning for navigation in unknown terrain
Sven Koenig,Maxim Likhachev +1 more
TL;DR: D/sup */ Lite is introduced, a heuristic search method that determines the same paths and thus moves the robot in the same way but is algorithmically different, and is at least as efficient as D/Sup */.
Proceedings Article
Anytime dynamic A*: an anytime, replanning algorithm
TL;DR: A graph-based planning and replanning algorithm able to produce bounded suboptimal solutions in an anytime fashion that combines the benefits of anytime and incremental planners to provide efficient solutions to complex, dynamic search problems.