Daniel M. Gaines - researchr alias

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Viewing Publication 1 - 22 from 22

2023

Autonomous robotics is driving Perseverance rover's progress on MarsVandi Verma, Mark W. Maimone, Daniel M. Gaines, Raymond Francis, Tara A. Estlin, Stephen Kuhn, Gregg R. Rabideau, Steve A. Chien, Michael M. McHenry, Evan J. Graser, Arturo L. Rankin, Ellen R. Thiel. scirobotics, 8(80), July 2023. [doi]

2021

2020

2018

Embedding a Scheduler in Execution for a Planetary RoverWayne Chi, Steve A. Chien, Jagriti Agrawal, Gregg Rabideau, Edward Benowitz, Daniel M. Gaines, Elyse Fosse, Stephen Kuhn, James Biehl. aips 2018: 312-320 [doi]

2017

AEGIS autonomous targeting for ChemCam on Mars Science Laboratory: Deployment and results of initial science team useTara A. Estlin, Gary Doran, S. Johnstone, Daniel M. Gaines, Vandi Verma, Michael C. Burl, J. Frydenvang, S. Montaño, Roger Wiens, Steven Schaffer, O. Gasnault, L. DeFlores, Diana Blaney, Benjamin J. Bornstein. scirobotics, 2(7), 2017. [doi]

2015

AEGIS autonomous targeting for the Curiosity rover's ChemCam instrumentRaymond Francis, Tara A. Estlin, Daniel M. Gaines, Benjamin J. Bornstein, Steven Schaffer, Vandi Verma, Robert Anderson, Michael C. Burl, Selina Chu, Rebecca Castaño, David R. Thompson, Diana Blaney, Lauren de Flores, Gary Doran, Tony Nelson, Roger Wiens. aipr 2015: 1-5 [doi]

2012

AEGIS Automated Science Targeting for the MER Opportunity RoverTara A. Estlin, Benjamin J. Bornstein, Daniel M. Gaines, Robert C. Anderson, David R. Thompson, Michael C. Burl, Rebecca Castaño, Michele Judd. tist, 3(3):50, 2012. [doi]

2008

Spatial coverage planning for a planetary roverDaniel M. Gaines, Tara A. Estlin, Caroline Chouinard. icra 2008: 614-620 [doi]

2007

2005

Coordinating multiple rovers with interdependent science objectivesTara A. Estlin, Daniel M. Gaines, Forest Fisher, Rebecca Castaño. atal 2005: 879-886 [doi]

2003

Special Issue: New artificial intelligence paradigms for manufacturingDaniel M. Gaines, William C. Regli. aiedam, 17(3):171, 2003.

2001

SAN-RL: combining spreading activation networks and reinforcement learning to learn configurable behaviorsDaniel M. Gaines, Don M. Wilkes, Kanok Kusumalnukool, Siripun Thongchai, Kazuhiko Kawamura, John H. White. mr 2001: 80-91 [doi]

2000

Using regression trees to learn action modelsNatasha Balac, Daniel M. Gaines, Douglas Fisher. SMC 2000: 3378-3383 [doi]

Simultaneously searching for planning goals, operators, and effectorsDaniel M. Gaines, Caroline C. Hayes. aiedam, 14(4):305-322, 2000.

A model for building planners that designDaniel M. Gaines, Xuhui Zhou. SMC 2000: 657-664 [doi]

1999

C-C: a customizable feature recognizerDaniel M. Gaines, Caroline C. Hayes. cad, 31(2):85-100, 1999. [doi]

A tool-centric approach to designing composable feature recognizersDaniel M. Gaines. wm 1999: 97-107 [doi]

1998

Coordinator: a robust setup planner that detects fixture-feature interactionsWael Faheem, Caroline C. Hayes, Daniel M. Gaines. SMC 1998: 423-426 [doi]

Effector-Based Goal and Operator Construction: A Model for the Design of Effector Adaptive PlannersDaniel M. Gaines. PhD thesis, University of Illinois Urbana-Champaign, USA, 1998. [doi]

1997

A repository for design, process planning and assemblyWilliam C. Regli, Daniel M. Gaines. cad, 29(12):895-905, 1997. [doi]

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