Multi-Agent Planning, Learning, and Coordination Group (MapleCG)
Towards bridging the gaps between planning, learning, and coordination
LOW, BRYAN KIAN HSIANG |劉謙雄|
Assistant Professor > CS > NUS
Ph.D. > ECE ◊ RI > CMU


publications

MOST FREQUENTLY USED WORDS     extracted from paper titles and abstracts


ACCEPTED PAPERS
     Co-authors :         
  1. Distributed Batch Gaussian Process Optimization.
    Erik Daxberger & Kian Hsiang Low.
    In Proceedings of the 34th International Conference on Machine Learning (ICML-17), pages 951-960, Sydney, Australia, Aug 6-11, 2017.
    25.9% acceptance rate


REFEREED PUBLICATIONS
         dblp
        Sorted by year 2K + 17 | 16 | 15 | 14 | 13 | 12 | 11 | 10 | 9 | 8 | 7 | 6 | 5 | 4 | 3 | 2
  1. A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression.
    Quang Minh Hoang, Trong Nghia Hoang & Kian Hsiang Low.
    In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI-17), pages 2007-2014, San Francisco, CA, Feb 4-9, 2017.
    24.6% acceptance rate (oral presentation)

  2. A Distributed Variational Inference Framework for Unifying Parallel Sparse Gaussian Process Regression Models.
    Trong Nghia Hoang, Quang Minh Hoang & Kian Hsiang Low.
    In Proceedings of the 33rd International Conference on Machine Learning (ICML-16), pages 382-391, New York City, NY, Jun 19-24, 2016.
    24.3% acceptance rate

  3. Near-Optimal Active Learning of Multi-Output Gaussian Processes.
    Yehong Zhang, Trong Nghia Hoang, Kian Hsiang Low & Mohan Kankanhalli.
    In Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-16), pages 2351-2357, Phoenix, AZ, Feb 12-17, 2016.
    25.75% acceptance rate

  4. Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond.
    Chun Kai Ling, Kian Hsiang Low & Patrick Jaillet.
    In Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-16), pages 1860-1866, Phoenix, AZ, Feb 12-17, 2016.
    25.75% acceptance rate

  5. DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks.
    Jie Fu, Hongyin Luo, Jiashi Feng, Kian Hsiang Low & Tat-Seng Chua.
    In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16), pages 1469-1475, New York City, NY, Jul 9-15, 2016.
    <25% acceptance rate

  6. Multi-Agent Continuous Transportation with Online Balanced Partitioning.
    Chao Wang, Somchaya Liemhetcharat & Kian Hsiang Low.
    In Proceedings of the 15th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS-16), pages 1303-1304, Singapore, May 9-13, 2016.


  7. Concept-based Hybrid Fusion of Multimodal Event Signals.
    Yuhui Wang, Christian von der Weth, Yehong Zhang, Kian Hsiang Low, Vivek Singh & Mohan Kankanhalli.
    In Proceedings of the IEEE International Symposium on Multimedia (ISM'16), pages 14-19, San Jose, CA, Dec 11-13, 2016.
    26.1% acceptance rate

  8. Inverse Reinforcement Learning with Locally Consistent Reward Functions.
    Quoc Phong Nguyen, Kian Hsiang Low & Patrick Jaillet.
    In C. Cortes, N. D. Lawrence, D. D. Lee, M. Sugiyama, R. Garnett, editors, Advances in Neural Information Processing Systems 28: 29th Annual Conference on Neural Information Processing Systems (NIPS-15), pages 1747-1755, Curran Associates, Inc., Montreal, Canada, Dec 7-12, 2015.
    21.9% acceptance rate

  9. Gaussian Process Decentralized Data Fusion and Active Sensing for Spatiotemporal Traffic Modeling and Prediction in Mobility-on-Demand Systems.
    Jie Chen, Kian Hsiang Low, Patrick Jaillet & Yujian Yao.
    In IEEE Transactions on Automation Science and Engineering (Special Issue on Networked Cooperative Autonomous Systems), volume 12, issue 3, pages 901-921, Jul 2015.


  10. A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data.
    Trong Nghia Hoang, Quang Minh Hoang & Kian Hsiang Low.
    In Proceedings of the 32nd International Conference on Machine Learning (ICML-15), pages 569-578, Lille, France, Jul 6-11, 2015.
    26.0% acceptance rate

  11. Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation.
    Kian Hsiang Low, Jiangbo Yu, Jie Chen & Patrick Jaillet.
    In Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI-15), pages 2821-2827, Austin, TX, Jan 25-29, 2015.
    26.67% acceptance rate

  12. Recent Advances in Scaling up Gaussian Process Predictive Models for Large Spatiotemporal Data.
    Kian Hsiang Low, Jie Chen, Trong Nghia Hoang, Nuo Xu & Patrick Jaillet.
    In S. Ravela, A. Sandu, editors, Dynamic Data-Driven Environmental Systems Science - First International Conference, DyDESS'14, LNCS 8964, pages 167-181, Springer International Publishing, MIT, Cambridge, MA, Nov 5-7, 2014.
    Oral presentation

  13. Multi-Agent Ad Hoc Team Partitioning by Observing and Modeling Single-Agent Performance.
    Etkin Baris Ozgul, Somchaya Liemhetcharat & Kian Hsiang Low.
    In Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC'14), pages 1-7, Siem Reap, city of Angkor Wat, Cambodia, Dec 9-12, 2014.


  14. Scalable Decision-Theoretic Coordination and Control for Real-time Active Multi-Camera Surveillance.
    Prabhu Natarajan, Trong Nghia Hoang, Yongkang Wong, Kian Hsiang Low & Mohan Kankanhalli.
    In Proceedings of the 8th ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC'14) (Invited Paper to Special Session on Smart Cameras for Smart Environments), pages 115-120, Venezia, Italy, Nov 4-7, 2014.


  15. Active Learning is Planning: Nonmyopic ϵ-Bayes-Optimal Active Learning of Gaussian Processes.
    Trong Nghia Hoang, Kian Hsiang Low, Patrick Jaillet and Mohan Kankanhalli.
    In T. Calders, F. Esposito, E. Hüllermeier, R. Meo, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML/PKDD-14 Nectar (New Scientific and Technical Advances in Research) Track, Part III, LNCS 8726, pages 494-498, Springer Berlin Heidelberg, Nancy, France, Sep 15-19, 2014.


  16. Generalized Online Sparse Gaussian Processes with Application to Persistent Mobile Robot Localization.
    Kian Hsiang Low, Nuo Xu, Jie Chen, Keng Kiat Lim & Etkin Baris Ozgul.
    In T. Calders, F. Esposito, E. Hüllermeier, R. Meo, editors, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML/PKDD-14 Nectar (New Scientific and Technical Advances in Research) Track, Part III, LNCS 8726, pages 499-503, Springer Berlin Heidelberg, Nancy, France, Sep 15-19, 2014.


  17. No One is Left "Unwatched": Fairness in Observation of Crowds of Mobile Targets in Active Camera Surveillance.
    Prabhu Natarajan, Kian Hsiang Low & Mohan Kankanhalli.
    In Proceedings of the 21st European Conference on Artificial Intelligence (ECAI-14), including Prestigious Applications of Intelligent Systems (PAIS-14), pages 1155-1160, Prague, Czech Republic, Aug 18-22, 2014.


  18. GP-Localize: Persistent Mobile Robot Localization using Online Sparse Gaussian Process Observation Model.
    Nuo Xu, Kian Hsiang Low, Jie Chen, Keng Kiat Lim & Etkin Baris Ozgul.
    In Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI-14), pages 2585-2592, Quebec City, Canada, Jul 27-31, 2014.
    16.6% acceptance rate (oral presentation)
    Also appeared in RSS-14 Workshop on Non-Parametric Learning in Robotics, Berkeley, CA, Jul 12, 2014.

  19. Nonmyopic ϵ-Bayes-Optimal Active Learning of Gaussian Processes.
    Trong Nghia Hoang, Kian Hsiang Low, Patrick Jaillet and Mohan Kankanhalli.
    In Proceedings of the 31st International Conference on Machine Learning (ICML-14), pages 739-747, Beijing, China, Jun 21-26, 2014.
    22.4% acceptance rate (cycle 2)
    Also appeared in RSS-14 Workshop on Non-Parametric Learning in Robotics, Berkeley, CA, Jul 12, 2014.

  20. Multi-Robot Active Sensing of Non-Stationary Gaussian Process-Based Environmental Phenomena.
    Ruofei Ouyang, Kian Hsiang Low, Jie Chen & Patrick Jaillet.
    In Proceedings of the 13th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS-14), pages 573-580, Paris, France, May 5-9, 2014.
    23.8% acceptance rate
    Also appeared in RSS-14 Workshop on Non-Parametric Learning in Robotics, Berkeley, CA, Jul 12, 2014.

  21. Decision-Theoretic Approach to Maximizing Fairness in Multi-Target Observation in Multi-Camera Surveillance.
    Prabhu Natarajan, Kian Hsiang Low & Mohan Kankanhalli.
    In Proceedings of the 13th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS-14), pages 1521-1522, Paris, France, May 5-9, 2014.


  22. Interactive POMDP Lite: Towards Practical Planning to Predict and Exploit Intentions for Interacting with Self-Interested Agents.
    Trong Nghia Hoang & Kian Hsiang Low.
    In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI-13), pages 2298-2305, Beijing, China, Aug 3-9, 2013.
    13.2% acceptance rate (oral presentation)

  23. A General Framework for Interacting Bayes-Optimally with Self-Interested Agents using Arbitrary Parametric Model and Model Prior.
    Trong Nghia Hoang & Kian Hsiang Low.
    In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI-13), pages 1394-1400, Beijing, China, Aug 3-9, 2013.
    28.0% acceptance rate

  24. Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations.
    Jie Chen, Nannan Cao, Kian Hsiang Low, Ruofei Ouyang, Colin Keng-Yan Tan & Patrick Jaillet.
    In Proceedings of the 29th Conference on Uncertainty in Artificial Intelligence (UAI-13), pages 152-161, Bellevue, WA, Jul 11-15, 2013.
    31.3% acceptance rate

  25. Gaussian Process-Based Decentralized Data Fusion and Active Sensing for Mobility-on-Demand System.
    Jie Chen, Kian Hsiang Low & Colin Keng-Yan Tan.
    In Proceedings of the Robotics: Science and Systems Conference (RSS-13), Berlin, Germany, Jun 24-28, 2013.
    30.1% acceptance rate

  26. Multi-Robot Informative Path Planning for Active Sensing of Environmental Phenomena: A Tale of Two Algorithms.
    Nannan Cao, Kian Hsiang Low & John M. Dolan.
    In Proceedings of the 12th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS-13), pages 7-14, Saint Paul, MN, May 6-10, 2013.
    22.9% acceptance rate

  27. Adaptive Sampling of Time Series with Application to Remote Exploration.
    David R. Thompson, Nathalie Cabrol, Michael Furlong, Craig Hardgrove, Kian Hsiang Low, Jeffrey Moersch & David Wettergreen.
    In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA'13), pages 3463-3468, Karlsruhe, Germany, May 6-10, 2013.


  28. Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena.
    Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan, Ali Oran, Patrick Jaillet, John M. Dolan & Gaurav S. Sukhatme.
    In Proceedings of the 28th Conference on Uncertainty in Artificial Intelligence (UAI-12), pages 163-173, Catalina Island, CA, Aug 15-17, 2012.
    31.6% acceptance rate
    Also appeared in AAMAS-12 Workshop on Agents in Traffic and Transportation (ATT-12), Valencia, Spain, June 4-8, 2012.

  29. Hierarchical Bayesian Nonparametric Approach to Modeling and Learning the Wisdom of Crowds of Urban Traffic Route Planning Agents.
    Jiangbo Yu, Kian Hsiang Low, Ali Oran & Patrick Jaillet.
    In Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT'12) (Invited Paper to Special Session on Large-Scale Application-Focused Multi-Agent Systems), pages 478-485, Macau, Dec 4-7, 2012.


  30. Decision-Theoretic Coordination and Control for Active Multi-Camera Surveillance in Uncertain, Partially Observable Environments.
    Prabhu Natarajan, Trong Nghia Hoang, Kian Hsiang Low & Mohan Kankanhalli.
    In Proceedings of the 6th ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC'12), pages 1-6, Hong Kong, Oct 30 - Nov 2, 2012.


  31. Decentralized Active Robotic Exploration and Mapping for Probabilistic Field Classification in Environmental Sensing.
    Kian Hsiang Low, Jie Chen, John M. Dolan, Steve Chien & David R. Thompson.
    In Proceedings of the 11th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS-12), pages 105-112, Valencia, Spain, June 4-8, 2012.
    20.4% acceptance rate
    Also appeared in IROS'11 Workshop on Robotics for Environmental Monitoring (WREM-11), San Francisco, CA, Sep 30, 2011.

  32. Decision-Theoretic Approach to Maximizing Observation of Multiple Targets in Multi-Camera Surveillance.
    Prabhu Natarajan, Trong Nghia Hoang, Kian Hsiang Low & Mohan Kankanhalli.
    In Proceedings of the 11th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS-12), pages 155-162, Valencia, Spain, June 4-8, 2012.
    20.4% acceptance rate

  33. Intention-Aware Planning under Uncertainty for Interacting with Self-Interested, Boundedly Rational Agents.
    Trong Nghia Hoang & Kian Hsiang Low.
    In Proceedings of the 11th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS-12), pages 1233-1234, Valencia, Spain, June 4-8, 2012.


  34. Active Markov Information-Theoretic Path Planning for Robotic Environmental Sensing.
    Kian Hsiang Low, John M. Dolan & Pradeep Khosla.
    In Proceedings of the 10th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS-11), pages 753-760, Taipei, Taiwan, May 2-6, 2011.
    22.1% acceptance rate

  35. Autonomous Personal Vehicle for the First- and Last-Mile Transportation Services.
    Zhuang Jie Chong, Baoxing Qin, Tirthankar Bandyopadhyay, Tichakorn Wongpiromsarn, Edward Samuel Rankin, Marcelo H. Ang, Jr., Emilio Frazzoli, Daniela Rus, David Hsu & Kian Hsiang Low.
    In Proceedings of the 5th IEEE International Conference on Cybernetics and Intelligent Systems and 5th IEEE International Conference on Robotics, Automation and Mechatronics (CIS-RAM'11), pages 253-260, Qingdao, China, Sep 17-19, 2011.

    Also appeared in IROS'11 Workshop on Perception and Navigation for Autonomous Vehicles in Human Environment, San Francisco, CA, Sep 30, 2011.

  36. Telesupervised Remote Surface Water Quality Sensing.
    Gregg Podnar, John M. Dolan, Kian Hsiang Low & Alberto Elfes.
    In Proceedings of the IEEE Aerospace Conference, Big Sky, MT, Mar 6-13, 2010.


  37. Information-Theoretic Approach to Efficient Adaptive Path Planning for Mobile Robotic Environmental Sensing.
    Kian Hsiang Low, John M. Dolan & Pradeep Khosla.
    In Proceedings of the 19th International Conference on Automated Planning and Scheduling (ICAPS-09), pages 233-240, Thessaloniki, Greece, Sep 19-23, 2009.
    33.9% acceptance rate
    Also appeared in IPSN-09 Workshop on Sensor Networks for Earth and Space Science Applications (ESSA-09), San Francisco, CA, Apr 16, 2009.
    Also orally presented in RSS-09 Workshop on Aquatic Robots and Ocean Sampling, Seattle, WA, Jun 29, 2009.

  38. Cooperative Aquatic Sensing using the Telesupervised Adaptive Ocean Sensor Fleet.
    John M. Dolan, Gregg W. Podnar, Stephen Stancliff, Kian Hsiang Low, Alberto Elfes, John Higinbotham, Jeffrey C. Hosler, Tiffany A. Moisan & John Moisan.
    In Proceedings of the SPIE Conference on Remote Sensing of the Ocean, Sea Ice, and Large Water Regions, volume 7473, Berlin, Germany, Aug 31 - Sep 3, 2009.


  39. Robot Boats as a Mobile Aquatic Sensor Network.
    Kian Hsiang Low, Gregg Podnar, Stephen Stancliff, John M. Dolan & Alberto Elfes.
    In Proceedings of the IPSN-09 Workshop on Sensor Networks for Earth and Space Science Applications (ESSA-09), San Francisco, CA, Apr 16, 2009.


  40. Adaptive Multi-Robot Wide-Area Exploration And Mapping.
    Kian Hsiang Low, John M. Dolan & Pradeep Khosla.
    In Proceedings of the 7th International Conference on Autonomous Agents and MultiAgent Systems (AAMAS-08), pages 23-30, Estoril, Portugal, May 12-16, 2008.
    22.2% acceptance rate
    Also presented as a poster in RSS-09 Workshop on Aquatic Robots and Ocean Sampling, Seattle, WA, Jun 29, 2009.

  41. Adaptive Sampling for Multi-Robot Wide-Area Exploration.
    Kian Hsiang Low, Geoffrey J. Gordon, John M. Dolan & Pradeep Khosla.
    In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA'07), pages 755-760, Rome, Italy, Apr 10-14, 2007.


  42. Autonomic Mobile Sensor Network with Self-Coordinated Task Allocation and Execution.
    Kian Hsiang Low, Wee Kheng Leow & Marcelo H. Ang, Jr.
    In IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications and Reviews (Special Issue on Engineering Autonomic Systems), volume 36, issue 3, pages 315-327, May 2006.
    Andrew P. Sage Best Transactions Paper Award for the best paper published in IEEE Trans. SMC - Part A, B, and C in 2006

  43. An Ensemble of Cooperative Extended Kohonen Maps for Complex Robot Motion Tasks.
    Kian Hsiang Low, Wee Kheng Leow & Marcelo H. Ang, Jr.
    In Neural Computation, volume 17, issue 6, pages 1411-1445, Jun 2005.


  44. Task Allocation via Self-Organizing Swarm Coalitions in Distributed Mobile Sensor Network.
    Kian Hsiang Low, Wee Kheng Leow & Marcelo H. Ang, Jr.
    In Proceedings of the 19th National Conference on Artificial Intelligence (AAAI-04), pages 28-33, San Jose, CA, Jul 25-29, 2004.
    26.7% acceptance rate

  45. Reactive, Distributed Layered Architecture for Resource-Bounded Multi-Robot Cooperation: Application to Mobile Sensor Network Coverage.
    Kian Hsiang Low, Wee Kheng Leow & Marcelo H. Ang, Jr.
    In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA'04), pages 3747-3752, New Orleans, LA, Apr 26 - May 1, 2004.


  46. Continuous-Spaced Action Selection for Single- and Multi-Robot Tasks Using Cooperative Extended Kohonen Maps.
    Kian Hsiang Low, Wee Kheng Leow & Marcelo H. Ang, Jr.
    In Proceedings of the IEEE International Conference on Networking, Sensing and Control (ICNSC'04) (Invited Paper to Special Session on Visual Surveillance), pages 198-203, Taipei, Taiwan, Mar 21-23, 2004.


  47. Action Selection for Single- and Multi-Robot Tasks Using Cooperative Extended Kohonen Maps.
    Kian Hsiang Low, Wee Kheng Leow & Marcelo H. Ang, Jr.
    In Proceedings of the 18th International Joint Conference on Artificial Intelligence (IJCAI-03), pages 1505-1506, Acapulco, Mexico, Aug 9-15, 2003.
    27.6% acceptance rate

  48. Action Selection in Continuous State and Action Spaces by Cooperation and Competition of Extended Kohonen Maps.
    Kian Hsiang Low, Wee Kheng Leow & Marcelo H. Ang, Jr.
    In Proceedings of the 2nd International Joint Conference on Autonomous Agents and MultiAgent Systems (AAMAS-03), pages 1056-1057, Melbourne, Australia, Jul 14-18, 2003.


  49. Enhancing the Reactive Capabilities of Integrated Planning and Control with Cooperative Extended Kohonen Maps.
    Kian Hsiang Low, Wee Kheng Leow & Marcelo H. Ang, Jr.
    In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA'03), pages 3428-3433, Taipei, Taiwan, May 12-17, 2003.


  50. A Hybrid Mobile Robot Architecture with Integrated Planning and Control.
    Kian Hsiang Low, Wee Kheng Leow & Marcelo H. Ang, Jr.
    In Proceedings of the 1st International Joint Conference on Autonomous Agents and MultiAgent Systems (AAMAS-02), pages 219-226, Bologna, Italy, Jul 15-19, 2002.
    26% acceptance rate

  51. Integrated Planning and Control of Mobile Robot with Self-Organizing Neural Network.
    Kian Hsiang Low, Wee Kheng Leow & Marcelo H. Ang, Jr.
    In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA'02), pages 3870-3875, Washington, DC, May 11-15, 2002.



TECHNICAL REPORTS
  1. New Advances on Bayesian and Decision-Theoretic Approaches for Interactive Machine Learning.
    Trong Nghia Hoang.
    Ph.D. Thesis, Department of Computer Science, National University of Singapore, Feb 2015.


  2. Gaussian Process-Based Decentralized Data Fusion and Active Sensing Agents: Towards Large-Scale Modeling and Prediction of Spatiotemporal Traffic Phenomena.
    Jie Chen.
    Ph.D. Thesis, Department of Computer Science, National University of Singapore, Dec 2013.


  3. A Decision-Theoretic Approach for Controlling and Coordinating Multiple Active Cameras in Surveillance.
    Prabhu Natarajan.
    Ph.D. Thesis, Department of Computer Science, National University of Singapore, Dec 2013.


  4. Information-Theoretic Multi-Robot Path Planning.
    Nannan Cao.
    M.Sc. Thesis, Department of Computer Science, National University of Singapore, Sep 2012.


  5. Multi-Robot Adaptive Exploration and Mapping for Environmental Sensing Applications.
    Kian Hsiang Low.
    Ph.D. Thesis, Technical Report CMU-ECE-2009-024, Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, Aug 2009.


  6. Adaptive Sampling for Multi-Robot Wide Area Prospecting.
    Kian Hsiang Low, Geoffrey J. Gordon, John M. Dolan, and Pradeep Khosla.
    In Technical Report CMU-RI-TR-05-51, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, Oct 2005.


  7. Integrated Robot Planning and Control with Extended Kohonen Maps.
    Kian Hsiang Low.
    M.Sc. Thesis, Department of Computer Science, School of Computing, National University of Singapore, Jul 2002.
    Singapore Computer Society Prize for best M.Sc. Thesis 2002-2003

  8. Mobile Robots That Learn to Navigate.
    Kian Hsiang Low.
    Honors Thesis, Department of Computer Science, School of Computing, National University of Singapore, Apr 2001.


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