Research Highlights

Ethics of AI and Robotics

• Benjamin Kuipers. 2023. AI and Society: Ethics, Trust, and Cooperation.
  Communications of the ACM 66(8): 39-42, August 2023.

• Benjamin Kuipers. 2022. Trust and Cooperation.
  Frontiers in Robotics and AI 9:676767, 2022.

• Benjamin Kuipers. 2020. Perspectives on Ethics of AI: Computer Science.
  In Markus Dubber, Frank Pasquale, and Sunit Das (Eds.),
  Oxford Handbook of Ethics of AI, Oxford University Press, 2020.
  Chapter 22, pages 421-441.

• Benjamin Kuipers. How can we trust a robot?
  Communications of the ACM, 61(3): 86-95, March 2018.

• Collin Johnson and Benjamin Kuipers.
  Socially-aware navigation using topological maps and social norm learning.
  AAAI/ACM Conf. on Artificial Intelligence, Ethics, and Society (AIES), 2018.

• Emanuelle Burton, Judy Goldsmith, Sven Koenig, Benjamin Kuipers, Nicholas Mattei, Toby Walsh.
  Ethical considerations in artificial intelligence courses.
  AI Magazine, Summer 2017.

• Benjamin Kuipers. 2012. An existing, ecologically-successful genus of collectively intelligent artificial creatures.
  Collective Intelligence (CI-2012).

Bootstrap Learning of Foundational Representations

• Jonathan Juett and Benjamin Kuipers. 2019.
  Learning and acting in peripersonal space: Moving, reaching, and grasping.
  Frontiers in Neurorobotics 13:4, 2019.
  doi: 10.3389/fnbot.2019.00004

• R. Mittelman, H. Lee, B. Kuipers and S. Savarese. 2013.
  Weakly supervised learning of mid-level features with Beta-Bernoulli process restricted Boltzmann machines.
  IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2013..

• Benjamin Kuipers. 2012. An existing, ecologically-successful genus of collectively intelligent artificial creatures.
  Collective Intelligence (CI-2012).

• Jonathan Mugan and Benjamin Kuipers. 2012. Autonomous learning of high-level states and actions in continuous environments.
  IEEE Transactions on Autonomous Mental Development 4(1): 70-86, 2012.

• Grace Tsai, Changhai Xu, Jingen Liu and Benjamin Kuipers. 2011. Real-time indoor scene understanding using Bayesian filtering with motion cues.
  Int. Conf. on Computer Vision (ICCV), 2011.

• Changhai Xu and Benjamin Kuipers. 2010.
  Towards the Object Semantic Hierarchy.
  IEEE International Conference on Development and Learning (ICDL-10).

• Jeremy Stober and Benjamin Kuipers. 2008.
  From pixels to policies: a bootstrapping agent.
  IEEE International Conference on Development and Learning (ICDL-08).

• Benjamin Kuipers. 2008.
  Drinking from the firehose of experience.
  Artificial Intelligence in Medicine 44: 155-170, 2008.

• Joseph Modayil and Benjamin Kuipers. 2008.
  The initial development of object knowledge by a learning robot.
  Robotics and Autonomous Systems 56: 879--890.

• Jefferson Provost, Benjamin J. Kuipers and Risto Miikkulainen. 2006.
  Developing navigation behavior through self-organizing distinctive state abstraction.
  Connection Science 18(2): 159-172, 2006.

• Benjamin Kuipers and Patrick Beeson. 2002.
  Bootstrap learning for place recognition.
  Proc. Eighteenth National Conference on Artificial Intelligence (AAAI-02).

• D. Pierce and B. Kuipers. 1997.
  Map learning with uninterpreted sensors and effectors.
  Artificial Intelligence 92: 169-229, 1997.

Spatial Reasoning

• Patrick Beeson, Joseph Modayil, Benjamin Kuipers. 2010.
  Factoring the mapping problem: Mobile robot map-building in the Hybrid Spatial Semantic Hierarchy
  International Journal of Robotics Research 29(4): 428-459, 2010.

• B. Kuipers. 2008.
  An intellectual history of the Spatial Semantic Hierarchy.
  In M. Jefferies and A. (W.-K.) Yeap (Eds.),
  Robot and Cognitive Approaches to Spatial Mapping.
  Springer Verlag, 2008.

• J. Modayil, P. Beeson and B. Kuipers. 2004.
  Using the topological skeleton for scalable global metrical map-building.
  IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-04).

• B. Kuipers, J. Modayil, P. Beeson, M. MacMahon, and F. Savelli. 2004.
  Local metrical and global topological maps in the hybrid Spatial Semantic Hierarchy.
  IEEE International Conference on Robotics and Automation (ICRA-04).

• B. Kuipers. 2000. The Spatial Semantic Hierarchy.
  Artificial Intelligence 119: 191-233, 2000.

• B. J. Kuipers & Y.-T. Byun. 1991. A robot exploration and mapping strategy based on a semantic hierarchy of spatial representations.
  Robotics and Autonomous Systems, 8: 47-63, 1991.

• B. J. Kuipers. 1978. Modeling spatial knowledge.
  Cognitive Science 2: 129-153, 1978.

Qualitative Reasoning

• B. Kuipers. 2001. Qualitative simulation.
  In R. A. Meyers (Ed.), Encyclopedia of Physical Science and Technology, Third Edition, NY: Academic Press.

• B. Shults and B. Kuipers. 1997. Proving properties of continuous systems: qualitative simulation and temporal logic.
  Artificial Intelligence 92: 91-129, 1997.

• B. J. Kuipers and K. Astrom. 1994.
  The composition and validation of heterogeneous control laws.
  Automatica 30(2): 233-249, 1994.

• B. J. Kuipers. 1994.
  Qualitative Reasoning: Modeling and Simulation with Incomplete Knowledge.
  Cambridge, MA: MIT Press.

• J. M. Crawford, A. Farquhar and B. J. Kuipers. 1990.
  QPC: a compiler from physical models into qualitative differential equations.
  National Conference on Artificial Intelligence (AAAI-90),

• D. Dvorak & B. J. Kuipers. 1989.
  Model-based monitoring of dynamic systems.
  International Joint Conference on Artificial Intelligence (IJCAI-89).

• B. J. Kuipers. 1986. Qualitative simulation.
  Artificial Intelligence 29: 289-338, 1986.

• B. J. Kuipers. 1984.
  Commonsense reasoning about causality: deriving behavior from structure.
  Artificial Intelligence 24: 169-203, 1984.

• B. J. Kuipers and J. P. Kassirer. 1984.
  Causal reasoning in medicine: analysis of a protocol.
  Cognitive Science 8: 363-385, 1984.