1. K. N. Kaipa and D. Ghose. Glowworm Swarm Optimization: Theory, Algorithms, and Applications, Studies in Computational Intelligence, Vol. 698, Springer-Verlag,2017. ISBN: 978-3-319-51594-6 (Print) 978-3-319-51595-3 (Online).
1. D. Ghose, J. Thomas, and K. N. Kaipa. Detection of nuclear spills using swarm optimization algorithms, US Patent 20120232695, 2012.
11. J. D. Langsfeld, K. N. Kaipa, and S. K. Gupta. Selection of trajectory parameters for dynamic pouring tasks based on exploitation-driven updates of local metamodels, Robotica. (Accepted).
10. A. Kabir, K. N. Kaipa, J. Marvel, and S. K. Gupta. Automated planning for robotic cleaning using multiple setups and oscillatory tool motions. IEEE Transactions on Automation Science and Engineering vol.PP, no.99, pp.1-14. doi: 10.1109/TASE.2017.2665460.
9. K. N. Kaipa, A. S. Kankanhalli-Nagendra, N. B. Kumbla, S. Shriyam, S. S. Thevendria-Karthic, J. A. Marvel, and S. K. Gupta (2016). Addressing perception uncertainty induced failure modes in robotic bin-picking. Robotics and Computer Integrated Manufacturing 42(1), 17-38.
8. C. W. Morato, K. N. Kaipa, and S. K. Gupta. Toward safe human robot collaboration by using multiple Kinects based real-time human tracking (2014). ASME Journal of Computing and Information Science in Engineering, 14(1): 011006.
7. C. W. Morato, K. N. Kaipa, and S. K. Gupta. (2013). Improving assembly precedence constraint generation by utilizing motion planning and part interaction clusters, Computer-Aided Design, 45 (11): 1349-1364.
6. K. N. Kaipa, J. C. Bongard, and A. N. Meltzoff (2010). Self discovery enables robot social cognition: Are you my teacher? Neural Networks, Special Issue on Social Cognition: Babies to Robots, 23 (8-9): 1113-1124.
5. K. N. Kaipa and D. Ghose (2009). Glowworm swarm optimization for simultaneous capture of multiple local optima of multimodal functions. Swarm Intelligence, 3(2): 87―124.
4. K. N. Kaipa and D. Ghose (2009). Glowworm swarm optimisation: a new method for optimising multi-modal functions. International Journal of Computational Intelligence Studies, 1(1): 93―119.
3. K. N. Kaipa and D. Ghose (2008). Theoretical foundations for rendezvous of glowworm-inspired agent swarms at multiple locations. Robotics and Autonomous Systems, 56(7): 549―569.
2. K. N. Kaipa and D. Ghose (2006). Glowworm swarm based optimization algorithm for multimodal functions with collective robotics applications. Multi-agent and Grid Systems, Special Issue on Recent Progress in Distributed Intelligence, 2(3): 209―222.
1. K. N. Kaipa and D. Ghose(2005). Formations of minimalist mobile robots using local-templates and spatially distributed interactions. Robotics and Autonomous Systems, 53(3―4): 194―213.
4. K. N. Kaipa and D. Ghose (2010). Glowworm swarm optimization for multimodal search spaces. In B.K. Panigrahi, Y. Shi, M-H. Lim (eds.), Handbook of Swarm Intelligence (Adaptation, Learning, and Optimization), Vol. 8, Springer-Verlag, pp. 451―467 (Outstanding book chapter award).
3. K. N. Kaipa and D. Ghose(2009). Glowworm swarm optimization for searching higher dimensional spaces, In C.P. Lim, L.C. Jain, S. Dehuri (eds.), Innovations in Swarm Intelligence (Studies in Computational Intelligence), Vol. 248, Springer-Verlag, pp. 61―75.
2. K. N. Kaipa and D. Ghose (2009). A glowworm swarm optimization based multi-robot system for signal source localization. In D. Liu , L. Wang, K.C. Tan (eds.), Design and Control of Intelligent Robotic Systems (Studies in Computational Intelligence), Vol. 177, Springer-Verlag, pp. 49―68.
1. K. N. Kaipa and D. Ghose(2008). Glowworm swarm optimization algorithm for hazard sensing in ubiquitous environments using heterogeneous agent swarms. In B. Prasad (eds.), Soft Computing Applications in Industry (Studies in Fuzziness and Soft Computing), Springer-Verlag, Vol. 226, 2008, pp. 165―187.
29. K. N. Kaipa, A. S. Kankanhalli-Nagendra, N. B. Kumbla, S. Shriyam, S. S. Thevendria-Karthic, J. A. Marvel, and S. K. Gupta. Enhancing robotic unstructured bin-picking performance by enabling remote human interventions in challenging perception scenarios. IEEE International Conference on Automation Science and Engineering, Fort Worth, TX, August 21-24, 2016.
28. A. M. Kabir, J. D. Langsfeld, S. Shriyam, V. S. Rachakonda, C. Zhuang, K. N. Kaipa, J. A. Marvel, and S. K. Gupta. Planning algorithms for multi-setup multi-pass robotic cleaning with oscillatory moving tools. IEEE International Conference on Automation Science and Engineering, Fort Worth, TX, August 21-24, 2016.
27. J. D. Langsfeld, A. M. Kabir, K. N. Kaipa, and S. K. Gupta. Robotic bimanual cleaning of deformable objects with online learning of part and tool models. IEEE International Conference on Automation Science and Engineering, Fort Worth, TX, August 21-24, 2016.
26. K. N. Kaipa, S. Shriyam, N. B. Kumbla, and S. K. Gupta. Resolving occlusions through simple extraction motions in robotic bin-picking. ASME Manufacturing Science and Engineering Conference, Blacksburg, VA, June 27-July 1, 2016.
25. A. M. Kabir, J. D. Langsfeld, C. Zhuang, K. N. Kaipa, and S. K. Gupta. Automated learning of operation parameters for robotic cleaning by mechanical scrubbing. ASME Manufacturing Science and Engineering Conference, Blacksburg, VA, June 27-July 1, 2016.
24. J. D. Langsfeld, A. M. Kabir, K. N. Kaipa, and S. K. Gupta. Online learning of part deformation models in robotic cleaning of compliant objects. ASME Manufacturing Science and Engineering Conference, Blacksburg, VA, June 27 - July 1, 2016.
23. K. N. Kaipa, S. S. Thevendria-Karthic, S. Shriyam, A. M. Kabir, J. D. Langsfeld, and S. K. Gupta. Resolving automated perception system failures in bin-picking tasks using assistance from remote human operators. IEEE International Conference on Automation Science and Engineering, Gothenburg, Sweden, August 24-28, 2015.
22. J. D. Langsfeld, K. N. Kaipa, R. J. Gentili, J. A. Reggia, and S. K. Gupta. Incorporating failure-to-success transitions in imitation learning for a dynamic pouring task. Workshop on Compliant Manipulation: Challenges and Control, held at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014), Chicago, IL, September 18, 2014.
21. V. Shivashankar, K. N. Kaipa, D. S. Nau, and S. K. Gupta. Towards integrating hierarchical goal networks and motion planners to support planning for human-robot teams. AI Robotics Workshop, held at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014), Chicago, IL, September 14, 2014.
20. K. N. Kaipa, C. W. Morato, J. Liu, and S. K. Gupta. Human-robot collaboration for bin-picking tasks to support low-volume assemblies. Human-Robot Collaboration for Industrial Manufacturing Workshop, held at Robotics: Science and Systems Conference (RSS 2014), University of California, Berkely, CA, July 12, 2014.
19. G. Krummel, K. N. Kaipa, and S. K. Gupta. Design of a horseshoe crab inspired amphibious robot for righting in surf zones. ASME Mechanisms and Robotics Conference (IDETC/CIE 2014), Buffalo, NY, August 17—20, 2014.
18. C. W. Morato, K. N. Kaipa, J. Liu, and S. K. Gupta. A framework for hybrid cells that support safe and efficient human-robot collaboration in assembly operations. ASME Computers and Information Engineering Conference (IDETC/CIE 2014), Buffalo, NY, August 17—20, 2014.
17. A. Vogel, K. N. Kaipa, G. Krummel, H. A. Bruck, and S. K. Gupta. Design of a compliance assisted quadrupedal amphibious robot. IEEE International Conference on Robotics and Automation (ICRA 2014), Hong Kong, China, May 31-June 7, 2014.
16. M. J. Kuhlman, P. Svec, K. N. Kaipa, D. Sofge, and S. K. Gupta. Physics-aware informative coverage planning for autonomous vehicles. IEEE International Conference on Robotics and Automation (ICRA 2014), Hong Kong, China, May 31-June 7, 2014.
15. C. W. Morato, K. N. Kaipa, B. Zhao, and S. K. Gupta. Safe human robot interaction by using exteroceptive based human modeling. ASME Computers and Information in Engineering Conference (IDETC/CIE 2013), Portland, Oregon, USA, August 4-7, 2013.
14. T. Brewer, K. N. Kaipa, and S. K. Gupta. A quadruped robot with on-boarding sensing and parameterized gait for stair climbing. 15th International Conference on Climbing and Walking Robots (CLAWAR 2012), Baltimore, Maryland, USA, July 23-26, 2012, pp. 375-382. (Best Paper Finalist Award)
13. K. N. Kaipa, C. W. Morato, B. Zhao, and S. K. Gupta. Instruction generation for assembly operations performed by humans. ASME Computers and Information in Engineering Conference (IDETC/CIE 2012), Chicago, Illinois, USA, August 12-15, 2012, 2012.
12. C. W. Morato, K. N. Kaipa, and S. K. Gupta. Assembly sequence planning by using multiple random trees based motion planning. ASME Computers and Information in Engineering Conference (IDETC/CIE 2012), Chicago, Illinois, USA, August 12-15, 2012, 2012.
11. K. N. Kaipa, J. C. Bongard, and A. N. Meltzoff. Combined structure and motion extraction from visual data using evolutionary active learning. Genetic and Evolutionary Computation Conference (GECCO 2009), Montreal, Canada, June 2009, pp. 121―128.
10. K. N. Kaipa and D. Ghose. Chasing multiple mobile signal sources: A glowworm swarm optimization approach. Third Indian International Conference on Artificial Intelligence (IICAI 2007), Pune, India, December 2007, pp. 1308―1327.
9. K. N. Kaipa and D. Ghose. Glowworm swarm optimization algorithm for hazard sensing in ubiquitous environments. International Conference on Ubiquitous Information Technologies and Applications, Dubai, UAE, February 2007, pp. 1499―1501.
8. P. Amruth, K. N. Kaipa and D. Ghose. Glowworms-inspired multirobot system for multiple source localization tasks. Workshop on Multi-robot Systems for Societal Applications, held at International Joint Conference on Artificial Intelligence (IJCAI 2007), Hyderabad, India, January 2007, pp. 32―37.
7. K. N. Kaipa, P. Amruth, M.H. Guruprasad, S.V. Bidargaddi, and D. Ghose. Rendezvous of glowworm-inspired robot swarms at multiple source locations: A sound source based real-robot implementation. Fifth International Workshop on Ant Colony Optimization and Swarm Intelligence (ANTS 2006), Brussels, Belgium, September 2006, pp. 259―269.
6. K. N. Kaipa and D. Ghose. Theoretical foundations for multiple rendezvous of glowworm-inspired mobile agents with variable local-decision domains. American Control Conference (ACC 2006), Minneapolis, Minnesota, USA, June 2006, pp. 3588―3593.
5. K. N. Kaipa, P. Amruth, M.H. Guruprasad, S. V. Bidargaddi, and D. Ghose. Glowworm-inspired robot swarm for simultaneous taxis towards multiple radiation sources. IEEE International Conference on Robotics and Automation (ICRA 2006), Orlando, Florida, USA, May 2006, pp. 958―963.
4. K. N. Kaipa and D. Ghose. Glowworm-inspired swarms with adaptive local-decision domains for multimodal function optimization. IEEE Swarm Intelligence Symposium, Indianapolis, Indiana, USA, May 2006.
3. K. N. Kaipa and D. Ghose. Multimodal function optimization using a glowworm metaphor with applications to collective robotics. Second Indian International Conference on Artificial Intelligence (IICAI 2005), Pune, India, December 2005, pp. 328―346. (Best Paper Award).
2. K. N. Kaipa and D. Ghose. Detection of multiple source locations using a glowworm metaphor with applications to collective robotics. IEEE Swarm Intelligence Symposium, Pasadena, California, USA, June 2005, pp. 84―91. (Debut paper on my doctoral research).
1. P. Amruth, K. N. Kaipa and D. Ghose. Infrared sensing to achieve distance and angle primitives in mobile robot formations. International Conference on Human Machine Interfaces, Bangalore, India, December 2004, pp. 48―56.