Adrian K. Agogino

Publication Activity (10 Years)

Years Active: 1999-2021
Publications (10 Years): 13

Top Topics

Multiagent Systems

Hard Constraints

Multiagent Learning

Top Venues

Publications

Andrew P. Sabelhaus, Huajing Zhao, Edward L. Zhu, Adrian K. Agogino, Alice M. Agogino
Model-Predictive Control With Inverse Statics Optimization for Tensegrity Spine Robots. IEEE Trans. Control. Syst. Technol. 29 (1) (2021)
Andrew P. Sabelhaus, Albert H. Li, Kimberly A. Sover, Jacob R. Madden, Andrew R. Barkan, Adrian K. Agogino, Alice M. Agogino
Inverse Statics Optimization for Compound Tensegrity Robots. IEEE Robotics Autom. Lett. 5 (3) (2020)
Andrew P. Sabelhaus, Lara Janse van Vuuren, Ankita Joshi, Edward Zhu, Hunter J. Garnier, Kimberly A. Sover, Jesús Navarro, Adrian K. Agogino, Alice M. Agogino
Design, Simulation, and Testing of Laika, a Quadruped Robot with a Flexible Actuated Spine. CoRR (2018)
Andrew P. Sabelhaus, Adrian K. Agogino
Inverse Kinematics for Control of Tensegrity Soft Robots: Existence and Optimality of Solutions. CoRR (2018)
Andrew P. Sabelhaus, Huajing Zhao, Edward L. Zhu, Adrian K. Agogino, Alice M. Agogino
Model-Predictive Control with Reference Input Tracking for Tensegrity Spine Robots. CoRR (2018)
Lee-Huang Chen, Brian Cera, Edward L. Zhu, Riley Edmunds, Franklin Rice, Antonia Bronars, Ellande Tang, Saunon R. Malekshahi, Osvaldo Romero, Adrian K. Agogino, Alice M. Agogino
Inclined surface locomotion strategies for spherical tensegrity robots. IROS (2017)
Steven Lessard, Pattawong Pansodtee, Ash Robbins, Leya Breanna Baltaxe-Admony, James M. Trombadore, Mircea Teodorescu, Adrian K. Agogino, Sri Kurniawan
CRUX: A compliant robotic upper-extremity exosuit for lightweight, portable, multi-joint muscular augmentation. ICORR (2017)
Lee-Huang Chen, Brian Cera, Edward L. Zhu, Riley Edmunds, Franklin Rice, Antonia Bronars, Ellande Tang, Saunon R. Malekshahi, Osvaldo Romero, Adrian K. Agogino, Alice M. Agogino
Inclined Surface Locomotion Strategies for Spherical Tensegrity Robots. CoRR (2017)
Kyunam Kim, Lee-Huang Chen, Brian Cera, Mallory Daly, Edward Zhu, Julien Despois, Adrian K. Agogino, Vytas SunSpiral, Alice M. Agogino
Hopping and rolling locomotion with spherical tensegrity robots. IROS (2016)
Steven Lessard, Dennis Castro, William Asper, Shaurya Deep Chopra, Leya Breanna Baltaxe-Admony, Mircea Teodorescu, Vytas SunSpiral, Adrian K. Agogino
A Bio-Inspired Tensegrity Manipulator with Multi-DOF, Structurally Compliant Joints. CoRR (2016)
Steven Lessard, Dennis Castro, William Asper, Shaurya Deep Chopra, Leya Breanna Baltaxe-Admony, Mircea Teodorescu, Vytas SunSpiral, Adrian K. Agogino
A bio-inspired tensegrity manipulator with multi-DOF, structurally compliant joints. IROS (2016)
Chris HolmesParker, Adrian K. Agogino, Kagan Tumer
Combining reward shaping and hierarchies for scaling to large multiagent systems. Knowl. Eng. Rev. 31 (1) (2016)
Steven Lessard, Jonathan Bruce, Erik Jung, Mircea Teodorescu, Vytas SunSpiral, Adrian K. Agogino
A lightweight, multi-axis compliant tensegrity joint. ICRA (2016)
Logan Michael Yliniemi, Adrian K. Agogino, Kagan Tumer
Simulation of the introduction of new technologies in air traffic management. Connect. Sci. 27 (3) (2015)
Steven Lessard, Jonathan Bruce, Erik Jung, Mircea Teodorescu, Vytas SunSpiral, Adrian K. Agogino
A light-weight, multi-axis compliant tensegrity joint. CoRR (2015)
Atil Iscen, Ken Caluwaerts, Jonathan Bruce, Adrian K. Agogino, Vytas SunSpiral, Kagan Tumer
Learning Tensegrity Locomotion Using Open-Loop Control Signals and Coevolutionary Algorithms. Artif. Life 21 (2) (2015)
Kyunam Kim, Adrian K. Agogino, Aliakbar Toghyan, Deaho Moon, Laqshya Taneja, Alice M. Agogino
Robust learning of tensegrity robot control for locomotion through form-finding. IROS (2015)
Logan Michael Yliniemi, Adrian K. Agogino, Kagan Tumer
Evolutionary agent-based simulation of the introduction of new technologies in air traffic management. GECCO (2014)
Kyunam Kim, Adrian K. Agogino, Deaho Moon, Laqshya Taneja, Aliakbar Toghyan, Borna Dehghani, Vytas SunSpiral, Alice M. Agogino
Rapid prototyping design and control of tensegrity soft robot for locomotion. ROBIO (2014)
Logan Michael Yliniemi, Adrian K. Agogino, Kagan Tumer
Multirobot Coordination for Space Exploration. AI Mag. 35 (4) (2014)
William J. Curran, Adrian K. Agogino, Kagan Tumer
Using reward/utility based impact scores in partitioning. AAMAS (2014)
Chris HolmesParker, Matthew E. Taylor, Adrian K. Agogino, Kagan Tumer
CLEAN Rewards to Improve Coordination by Removing Exploratory Action Noise. WI-IAT (3) (2014)
Atil Iscen, Adrian K. Agogino, Vytas SunSpiral, Kagan Tumer
Flop and roll: Learning robust goal-directed locomotion for a Tensegrity Robot. IROS (2014)
Chris HolmesParker, Matthew E. Taylor, Adrian K. Agogino, Kagan Tumer
CLEANing the reward: counterfactual actions to remove exploratory action noise in multiagent learning (extended abstract). AAMAS (2014)
William J. Curran, Adrian K. Agogino, Kagan Tumer
Hierarchical simulation for complex domains: air traffic flow management. GECCO (2014)
Atil Iscen, Adrian K. Agogino, Vytas SunSpiral, Kagan Tumer
Controlling tensegrity robots through evolution. GECCO (2013)
William J. Curran, Adrian K. Agogino, Kagan Tumer
Partitioning agents and shaping their evaluation functions in air traffic problems with hard constraints. GECCO (Companion) (2013)
William J. Curran, Adrian K. Agogino, Kagan Tumer
Addressing hard constraints in the air traffic problem through partitioning and difference rewards. AAMAS (2013)
Chris HolmesParker, Adrian K. Agogino, Kagan Tumer
CLEAN rewards for improving multiagent coordination in the presence of exploration. AAMAS (2013)
Atil Iscen, Adrian K. Agogino, Vytas SunSpiral, Kagan Tumer
Learning to control complex tensegrity robots. AAMAS (2013)
Chris HolmesParker, Adrian K. Agogino, Kagan Tumer
Exploiting structure and utilizing agent-centric rewards to promote coordination in large multiagent systems. AAMAS (2013)
Adrian K. Agogino, Kagan Tumer
A multiagent approach to managing air traffic flow. Auton. Agents Multi Agent Syst. 24 (1) (2012)
Adrian K. Agogino, Chris HolmesParker, Kagan Tumer
Evolving large scale UAV communication system. GECCO (2012)
Adrian K. Agogino, Chris HolmesParker, Kagan Tumer
Evolving distributed resource sharing for cubesat constellations. GECCO (2012)
Chris HolmesParker, Adrian K. Agogino
Agent-based resource allocation in dynamically formed CubeSat constellations. AAMAS (2011)
Adrian K. Agogino, Kagan Tumer
A Multiagent Coordination Approach to Robust Consensus Clustering. Adv. Complex Syst. 13 (2) (2010)
Adrian K. Agogino
Component evolution for large scale air traffic optimization. GECCO (Companion) (2010)
Adrian K. Agogino, Kagan Tumer
Improving air traffic management through agent suggestions. AAMAS (2) (2009)
Adrian K. Agogino, Kagan Tumer
Learning Indirect Actions in Complex Domains: Action Suggestions for Air Traffic Control. Adv. Complex Syst. 12 (4-5) (2009)
Kagan Tumer, Adrian K. Agogino
Multiagent Learning for Black Box System Reward Functions. Adv. Complex Syst. 12 (4-5) (2009)
Kagan Tumer, Adrian K. Agogino
Improving Air Traffic Management with a Learning Multiagent System. IEEE Intell. Syst. 24 (1) (2009)
Adrian K. Agogino
Evaluating evolution and monte carlo for controlling air traffic flow. GECCO (Companion) (2009)
Kagan Tumer, Adrian K. Agogino
Ensemble clustering with voting active clusters. Pattern Recognit. Lett. 29 (14) (2008)
Kagan Tumer, Zachary T. Welch, Adrian K. Agogino
Aligning social welfare and agent preferences to alleviate traffic congestion. AAMAS (2) (2008)
Adrian K. Agogino, Kagan Tumer
Efficient Evaluation Functions for Evolving Coordination. Evol. Comput. 16 (2) (2008)
Adrian K. Agogino, Kagan Tumer
Analyzing and visualizing multiagent rewards in dynamic and stochastic domains. Auton. Agents Multi Agent Syst. 17 (2) (2008)
Kagan Tumer, Adrian K. Agogino
Adaptive Management of Air Traffic Flow: A Multiagent Coordination Approach. AAAI (2008)
Adrian K. Agogino, Kagan Tumer
Regulating air traffic flow with coupled agents. AAMAS (2) (2008)
Kagan Tumer, Adrian K. Agogino
Distributed agent-based air traffic flow management. AAMAS (2007)
Adrian K. Agogino, Kagan Tumer
Evolving distributed agents for managing air traffic. GECCO (2007)
Adrian K. Agogino, Kagan Tumer
QUICR-Learning for Multi-Agent Coordination. AAAI (2006)
Adrian K. Agogino, Kagan Tumer
Efficient agent-based cluster ensembles. AAMAS (2006)
Adrian K. Agogino, Kagan Tumer
Handling Communication Restrictions and Team Formation in Congestion Games. Auton. Agents Multi Agent Syst. 13 (1) (2006)
Adrian K. Agogino, Kagan Tumer
Distributed evaluation functions for fault tolerant multi-rover systems. GECCO (2006)
Nachi Gupta, Adrian K. Agogino, Kagan Tumer
Efficient agent-based models for non-genomic evolution. AAMAS (2006)
Adrian K. Agogino, Kagan Tumer, Risto Miikkulainen
Efficient credit assignment through evaluation function decomposition. GECCO (2005)
Adrian K. Agogino, Kagan Tumer
Multi-agent reward analysis for learning in noisy domains. AAMAS (2005)
Kagan Tumer, Adrian K. Agogino
Coordinating multi-rover systems: evaluation functions for dynamic and noisy environments. GECCO (2005)
Kagan Tumer, Adrian K. Agogino
Efficient Reward Functions for Adaptive Multi-rover Systems. LAMAS (2005)
Adrian K. Agogino, Kagan Tumer
Efficient Evaluation Functions for Multi-rover Systems. GECCO (1) (2004)
Adrian K. Agogino, Kagan Tumer
Unifying Temporal and Structural Credit Assignment Problems. AAMAS (2004)
Kagan Tumer, Adrian K. Agogino
Time-Extended Policies in Multi-Agent Reinforcement Learning. AAMAS (2004)
Adrian K. Agogino, Kagan Tumer
Team formation and communication restrictions in collectives. AAMAS (2003)
Kagan Tumer, Adrian K. Agogino, David H. Wolpert
Learning sequences of actions in collectives of autonomous agents. AAMAS (2002)
Adrian K. Agogino, Joydeep Ghosh, Stavros J. Perantonis, Vassilis Virvilis, Sergios Petridis, Paulo J. G. Lisboa
The Role of Multiple, Linear-Projection Based Visualization Techniques in RBF-Based Classification of High Dimensional Data. IJCNN (3) (2000)
Adrian K. Agogino, Kenneth O. Stanley, Risto Miikkulainen
Online Interactive Neuro-evolution. Neural Process. Lett. 11 (1) (2000)
Adrian K. Agogino, Joydeep Ghosh, Cheryl E. Martin
Visualization of radial basis function networks. IJCNN (1999)