Biblio

2012

Shah

A

,

Wilcox

,

Optimization of Multi-Agent Workflow for Human-Robot Collaboration in Assembly Manufacturing

AIAA Infotech@Aerospace (I@A)

06/2012
2007

Shah

A

,

Williams

,

Stedl

,

Robertson

,

A Fast Incremental Algorithm for Maintaining Dispatchability of Partially Controllable Plans

International Conference on Automated Planning and Scheduling (ICAPS) [32% acceptance rate]

09/2007
2008

Shah

A

,

Williams

,

Fast Dynamic Scheduling of Disjunctive Temporal Constraint Networks through Incremental Compilation

International Conference on Automated Planning and Scheduling (ICAPS) [Best Student Paper Award]

09/2008
2009

Shah

A

,

Conrad

,

Williams

,

Flexible Execution of Plans with Choice

International Conference on Automated Planning and Scheduling (ICAPS)

09/2009
2009

Shah

A

,

Conrad

,

Williams

,

Fast Distributed Multi-agent Plan Execution with Dynamic Task Assignment and Scheduling

International Conference on Automated Planning and Scheduling (ICAPS) [34% acceptance rate]

09/2009
2011

Shah

A

,

Breazeal

,

Williams

,

Wiken

,

Improved Human-Robot Team Performance Using Chaski, a Human-Inspired Plan Execution System

ACM/IEEE International Conference on Human Robot Interaction (HRI) [Best Paper Nomination]

03/2011
2012

Shah

A

,

Nikolaidis

,

Wilcox

,

Optimization of Temporal Dynamics for Adaptive Human-Robot Interaction in Assembly Manufacturing

Robotics: Science and Systems (RSS) [33% acceptance rate]

07/2012
2012

Shah

A

,

Nikolaidis

,

Human-Robot Interactive Planning using Cross-Training: A Human Team Training Approach

AIAA Infotech@Aerospace (I@A)

06/2012
2013

Shah

A

,

Nikolaidis

,

Human-Robot Cross-Training: Computational Formulation, Modeling and Evaluation of a Human Team Training Strategy

ACM/IEEE International Conference on Human Robot Interaction (HRI) [25% Acceptance Rate]

03/2013
2013

Kim

,

Shah

A

,

Chacha

M

,

Inferring Robot Task Plans from Human Team Meetings: A Generative Modeling Approach with Logic-Based Prior

AAAI Conference on Artificial Intelligence (AAAI) [29% Acceptance Rate]

07/2013