A framework for robotic clothing assistance by imitation learning RP Joshi, N Koganti, T Shibata Advanced Robotics 33 (22), 1156-1174, 2019 | 46 | 2019 |
Bayesian Nonparametric Learning of Cloth Models for Real-Time State Estimation N Koganti, T Tamei, K Ikeda, T Shibata IEEE Transactions on Robotics 33 (4), 916-931, 2017 | 44 | 2017 |
Restock and straightening system for retail automation using compliant and mobile manipulation GA Garcia Ricardez, S Okada, N Koganti, A Yasuda, PM Uriguen Eljuri, ... Advanced Robotics 34 (3-4), 235-249, 2020 | 35 | 2020 |
Cloth dynamics modeling in latent spaces and its application to robotic clothing assistance N Koganti, JG Ngeo, T Tomoya, K Ikeda, T Shibata 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 27 | 2015 |
Estimation of human cloth topological relationship using depth sensor for robotic clothing assistance N Koganti, T Tamei, T Matsubara, T Shibata Proceedings of Conference on Advances In Robotics, 1-6, 2013 | 23 | 2013 |
Real-time estimation of human-cloth topological relationship using depth sensor for robotic clothing assistance N Koganti, T Tamei, T Matsubara, T Shibata The 23rd IEEE international symposium on robot and human interactive …, 2014 | 22 | 2014 |
Adaptive motion generation using imitation learning and highly compliant end effector for autonomous cleaning GA Garcia Ricardez, N Koganti, PC Yang, S Okada, PM Uriguen Eljuri, ... Advanced Robotics 34 (3-4), 189-201, 2020 | 21 | 2020 |
Robotic cloth manipulation for clothing assistance task using dynamic movement primitives RP Joshi, N Koganti, T Shibata Proceedings of the 2017 3rd International Conference on Advances in Robotics …, 2017 | 21 | 2017 |
Contract lifecycle management S Makhija, SGD Bhat, NN Vasa, A Jana, N Koganti, VSH Vemuluru, ... US Patent 11,348,352, 2022 | 19 | 2022 |
Virtual reality as a user-friendly interface for learning from demonstrations N Koganti, A Rahman HAG, Y Iwasawa, K Nakayama, Y Matsuo Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing …, 2018 | 17 | 2018 |
Data-efficient learning of robotic clothing assistance using Bayesian Gaussian process latent variable model N Koganti, T Shibata, T Tamei, K Ikeda Advanced Robotics 33 (15-16), 800-814, 2019 | 16 | 2019 |
Combining a monte carlo tree search and a feasibility database to plan and execute rearranging tasks PMU Eljuri, GAG Ricardez, N Koganti, J Takamatsu, T Ogasawara IEEE Access 9, 21721-21734, 2021 | 10 | 2021 |
Solving the shepherding problem: Imitation learning can acquire the switching algorithm CK Go, N Koganti, K Ikeda 2021 international joint conference on neural networks (IJCNN), 1-7, 2021 | 9 | 2021 |
Modeling occupancy grids using edhmm for dynamic environments A Dadhich, N Koganti, T Shibata Proceedings of the 2015 Conference on Advances in Robotics, 1-6, 2015 | 7 | 2015 |
A study on human-robot collaboration for table-setting task K Saxena, R Labuguen, RP Joshi, N Koganti, T Shibata 2017 IEEE international conference on robotics and biomimetics (ROBIO), 183-188, 2017 | 5 | 2017 |
Bayesian Nonparametric Motor-skill Representations for Efficient Learning of Robotic Clothing Assistance N Koganti, T Tamei, K Ikeda, T Shibata Workshop on Practical Bayesian Nonparametrics, Neural Information Processing …, 2016 | 4 | 2016 |
Context dependent trajectory generation using sequence-to-sequence models for robotic toilet cleaning PC Yang, N Koganti, GAG Ricardez, M Yamamoto, J Takamatsu, ... 2020 29th IEEE International Conference on Robot and Human Interactive …, 2020 | 3 | 2020 |
Combining symbolic and motion planners for rearranging tasks in daily-life environments PMU Eljuri, GAG Ricardez, N Koganti, J Takamatsu, T Ogasawara 2020 Fourth IEEE International Conference on Robotic Computing (IRC), 71-74, 2020 | 2 | 2020 |
Toward imitating visual attention of experts in software development tasks Y Ikutani, N Koganti, H Hata, T Kubo, K Matsumoto 2019 IEEE/ACM 6th International Workshop on Eye Movements in Programming …, 2019 | 2 | 2019 |
Data processing and classification S Makhija, SGD Bhat, N Koganti, VSH Vemuluru, V Prasad US Patent 11,714,831, 2023 | 1 | 2023 |