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Rosemary Emery

dblp:02/5592 · DBLP profile ↗
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6ranked-venue papers
3as first author
0since 2021 · last 2002
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 6 · 3 first-authorSystems, architecture and hardware · 2 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
3 papers
Multi-agent systems · 36% Robot navigation and mapping · 28% Motion planning and robot control · 28%

Topics — the 8 heaviest of 9, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Knowledge, reasoning and agents › Multi-agent systems › multi-agent coordination
dynamic role assignment
0.012002
Protocols for Collaboration, Coordination and Dynamic Role Assignment in a Robot Team · ICRA 2002
Knowledge, reasoning and agents › Multi-agent systems
multi-robot coordination
0.012002
Protocols for Collaboration, Coordination and Dynamic Role Assignment in a Robot Team · ICRA 2002
Robotics › Robot navigation and mapping › SLAM › 3d mapping
3d environment mapping
0.012001
Using EM to Learn 3D Models of Indoor Environments with Mobile Robots · ICML 2001
Robotics › Motion planning and robot control › robot control
behavior-based control
0.012001
Behavior-Based Control of a Non-Holonomic Robot in Pushing Tasks · ICRA 2001
Robotics › Robot navigation and mapping › robot mapping
mobile robot mapping
0.012001
Using EM to Learn 3D Models of Indoor Environments with Mobile Robots · ICML 2001
Robotics › Motion planning and robot control › robot control › nonholonomic systems
nonholonomic vehicle control
0.012001
Behavior-Based Control of a Non-Holonomic Robot in Pushing Tasks · ICRA 2001
Machine learning › Probabilistic and Bayesian machine learning › statistical inference › parameter estimation
expectation-maximization
0.012001
Using EM to Learn 3D Models of Indoor Environments with Mobile Robots · ICML 2001
Robotics › Robot manipulation › nonprehensile manipulation
pushing manipulation
0.012001
Behavior-Based Control of a Non-Holonomic Robot in Pushing Tasks · ICRA 2001

Methods — techniques the papers use, named apart from their topics

multithreaded programming · 0.0distributed protocol · 0.0motor schema · 0.0expectation-maximization · 0.0behavior-based control · 0.03d model learning · 0.0
YearPublicationVenuePosition
2002 Protocols for Collaboration, Coordination and Dynamic Role Assignment in a Robot Team
abstract
Creation of cooperative robot teams for complex tasks requires not only agents that can function well individually but also agents that can coordinate their actions. The paper presents several methods for collaboration and coordination in a team of soccer-playing robots. In our approach, fixed collaborative supporting behaviours allow for robots to aid each other and decrease interference. Coordinated dynamic role assignment then permits the robots to take advantage of their current location on the field. We present a robust protocol for dynamic role assignment based upon multithreaded computer programming that mitigates the risk often associated with initiating a role change in a distributed system. This protocol is independent from the manner in which the decision to switch roles is made and would therefore support any approach to role assignment. The individual and supporting behaviours were tested at RoboCup 2001 in Seattle, Washington.
Rosemary Emery, Kevin Sikorski, Tucker R. Balch
ICRA1
2001 Using EM to Learn 3D Models of Indoor Environments with Mobile Robots
Rosemary Emery, Deepayan Chakrabarti, Wolfram Burgard, Sebastian Thrun
ICML2
2001 Behavior-Based Control of a Non-Holonomic Robot in Pushing Tasks
abstract
We describe a behavior-based control system that enables a non-holonomic robot to push an object from an arbitrary starting position to a goal location through an obstacle field. The approach avoids the need for maintaining an internal model of the target and obstacles and the potentially high computational overhead associated with traditional path planning approaches for non-holonomic robots. The motor schema-based control system was prototyped in simulation, then evaluated empirically on mobile robots. The approach was demonstrated in two pushing tasks: box pushing and ball dribbling. Using the same generalized control system, a robot is able to successfully push a box through a static obstacle field and dribble a ball into a goal during RoboCup soccer matches. In both cases the robot is able to react quickly and recover from situations where it loses control of its target with due to its own motion or interference with others. Quantitative experimental results for reliability in box pushing are included.
Rosemary Emery, Tucker R. Balch
ICRA1
2001 A Real-time Algorithm for Acquiring Multi-Planar Volumetric Models with Mobile Robots
Sebastian Thrun, Wolfram Burgard, Deepayan Chakrabarti, Rosemary Emery, Christian Martin 0001
ISRR4
2001 CMU Hammerheads 2001 Team Description
Stephen B. Stancliff, Ravi Balasubramanian, Tucker R. Balch, Rosemary Emery, Kevin Sikorski, Ashley W. Stroupe
RoboCup4
2000 CMU Hammerheads Team Description
Rosemary Emery, Tucker R. Balch, Rande Shern, Kevin Sikorski, Ashley W. Stroupe
RoboCup1