Noise Maps for Acoustically Sensitive Navigation 1 (2008)
More and more robotic applications are equipping robots with microphones to improve the sensory information available to them. However, in most applications the auditory task is very low-level, only...
Lattice Formation in Mobile Autonomous Sensor Arrays (2008)
emergent group behavior is generated from simple local interactions local messaging & sensing of neighbors facilitates local interactions DARPA Pheromone Robotics : 7&"($#$ *"$(...
Eric Martinson, Dr. Ronald Arkin Advisor, Dr. Tucker Balch, Dr. Frank Dellaert, Dr. Thad Starner
First and foremost, I would like to thank my wife, Lilia Moshkina, for the countless hours she spent helping me out in many different ways. She was always encouraging, helped out with the robots when...
Using Vision, Acoustics, and Natural Language for Disambiguation (2007)
Benjamin Fransen, Vlad Morariu, Eric Martinson, Samuel Blisard, Matthew Marge, Scott Thomas, ...
Creating a human-robot interface is a daunting experience. Capabilities and functionalities of the interface are dependent on the robustness of many different sensor and input modalities. For...
Robotic Discovery of the Auditory Scene (2007)
Martinson, Eric, Schultz, Alan
In this work, we describe an autonomous mobile robotic system for finding and investigating ambient noise sources in the environment. Motivated by the large negative effect of ambient noise sources...
Bibliography : p. 59-60.
Auditory Evidence Grids (2006)
Abstract – Sound source localization on a mobile robot can be a difficult task due to a variety of problems inherent to a real environment, including robot ego-noise, echoes, and the transient...
Auditory Evidence Grids (2006)
Abstract – Sound source localization on a mobile robot can be a difficult task due to a variety of problems inherent to a real environment, including robot ego-noise, echoes, and the transient...
Auditory Evidence Grids (2006)
Martinson, Eric, Schultz, Alan
Sound source localization on a mobile robot can be a difficult task due to a variety of problems inherent to a real environment, including robot ego-noise, echoes, and the transient nature of ambient...
Auditory Perspective Taking (2006)
Auditory perspective taking is imagining being in another’s place, and predicting what they are able to hear and how it will affect their general comprehension. From this knowledge of another’s...
Noise Maps for Acoustically Sensitive Navigation (2004)
Martinson, Eric, Arkin, Ronald C.
More and more robotic applications are equipping robots with microphones to improve the sensory information available to them. However, in most applications the auditory task is very low-level, only...
Multistrategy Learning Methods for Multirobot Systems (2003)
Arkin, Ronald C., Endo, Yoichiro, Lee, Brian, MacKenzie, Douglas Christopher, Martinson, Eric
This article describes three different methods for introducing machine learning into a hybrid deliberative/reactive architecture for multirobot systems: learning momentum, Q-learning, and CBR...
Learning to Role-Switch in Multi-Robot Systems (2003)
Arkin, Ronald C., Martinson, Eric
We present an approach that uses Q-learning on individual robotic agents, for coordinating a mission-tasked team of robots in a complex scenario. To reduce the size of the state space, actions are...
Robot Behavioral Selection Using Q-learning (2001)
Martinson, Eric, Stoytchev, Alexander, Arkin, Ronald C.
Q-learning has often been used to learn primitive behaviors, or to coordinate a limited set of motor skills. However, the complexity of the algorithm increases exponentially with the number of states...
Robot Behavioral Selection Using Q-learning (2001)
Martinson, Eric, Stoytchev, Alexander, Arkin, Ronald C.
Q-learning has often been used to learn primitive behaviors, or to coordinate a limited set of motor skills. However, the complexity of the algorithm increases exponentially with the number of states...
Learning to Role-Switch in Multi-Robot Systems (1998)
Martinson, Eric, Arkin, Ronald C.
The authors present an approach that uses Q-learning on individual robotic agents for coordinating a mission-tasked team of robots in a complex scenario. To reduce the size of the state space,...
Multistrategy Learning Methods for Multirobot Systems (1998)
Arkin, Ronald C., Endo, Y., Lee, B., MacKenzie, D., Martinson, Eric
Incorporation of a range of disparate learning algorithms is both feasible and desirable within a hybrid deliberative/reactive architecture. In particular, the authors present three different methods...