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Nishanth Koganti
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2020 – today
- 2022
- [c14]Arturo E. Cerón López, Rahul Ranjan, Nishanth Koganti:
Realism Assessment for Synthetic Images in Robot Vision through Performance Characterization. IROS 2022: 13089-13096 - 2021
- [j6]Pedro Miguel Uriguen Eljuri
, Gustavo Alfonso Garcia Ricardez
Combining a Monte Carlo Tree Search and a Feasibility Database to Plan and Execute Rearranging Tasks. IEEE Access 9: 21721-21734 (2021) - [c13]Clark Kendrick Go, Nishanth Koganti, Kazushi Ikeda:
Solving the Shepherding Problem: Imitation Learning Can Acquire the Switching Algorithm. IJCNN 2021: 1-7 - [c12]Pedro Miguel Uriguen Eljuri, Gustavo Alfonso Garcia Ricardez, Nishanth Koganti, Jun Takamatsu, Tsukasa Ogasawara:
Rearranging Tasks in Daily-life Environments Using a Monte Carlo Tree Search and a Feasibility Database. SII 2021: 330-335 - 2020
- [j5]Gustavo Alfonso Garcia Ricardez
Adaptive motion generation using imitation learning and highly compliant end effector for autonomous cleaning. Adv. Robotics 34(3-4): 189-201 (2020) - [j4]Gustavo Alfonso Garcia Ricardez
Restock and straightening system for retail automation using compliant and mobile manipulation. Adv. Robotics 34(3-4): 235-249 (2020) - [c11]Pedro Miguel Uriguen Eljuri, Gustavo Alfonso Garcia Ricardez, Nishanth Koganti, Jun Takamatsu, Tsukasa Ogasawara:
Combining Symbolic and Motion Planners for Rearranging Tasks in Daily-life Environments. IRC 2020: 71-74 - [c10]Pin-Chu Yang, Nishanth Koganti, Gustavo Alfonso Garcia Ricardez, Masaki Yamamoto, Jun Takamatsu, Tsukasa Ogasawara
Context Dependent Trajectory Generation using Sequence-to-Sequence Models for Robotic Toilet Cleaning. RO-MAN 2020: 932-937
2010 – 2019
- 2019
- [j3]Nishanth Koganti
Data-efficient learning of robotic clothing assistance using Bayesian Gaussian process latent variable model. Adv. Robotics 33(15-16): 800-814 (2019) - [j2]Ravi Prakash Joshi
A framework for robotic clothing assistance by imitation learning. Adv. Robotics 33(22): 1156-1174 (2019) - [c9]Yoshiharu Ikutani, Nishanth Koganti, Hideaki Hata
Toward imitating visual attention of experts in software development tasks. EMIP@ICSE 2019: 33-36 - [i1]Yoshiharu Ikutani, Nishanth Koganti, Hideaki Hata, Takatomi Kubo, Kenichi Matsumoto:
Toward Imitating Visual Attention of Experts in Software Development Tasks. CoRR abs/1903.06320 (2019) - 2018
- [c8]Nishanth Koganti
Virtual Reality as a User-friendly Interface for Learning from Demonstrations. CHI Extended Abstracts 2018 - [c7]Abdul Rahman Abdul Ghani, Nishanth Koganti, Alfredo Solano, Yusuke Iwasawa, Kotaro Nakayama, Yutaka Matsuo:
Designing Efficient Neural Attention Systems Towards Achieving Human-level Sharp Vision. ICLR (Workshop) 2018 - 2017
- [j1]Nishanth Koganti
Bayesian Nonparametric Learning of Cloth Models for Real-Time State Estimation. IEEE Trans. Robotics 33(4): 916-931 (2017) - [c6]Ravi Prakash Joshi
Robotic cloth manipulation for clothing assistance task using Dynamic Movement Primitives. AIR 2017: 14:1-14:6 - [c5]Krati Saxena
A study on human-robot collaboration for table-setting task. ROBIO 2017: 183-188 - 2015
- [c4]Abhinav Dadhich, Nishanth Koganti
Modeling occupancy grids using EDHMM for dynamic environments. AIR 2015: 60:1-60:6 - [c3]Nishanth Koganti
Cloth dynamics modeling in latent spaces and its application to robotic clothing assistance. IROS 2015: 3464-3469 - 2014
- [c2]Nishanth Koganti
Real-time estimation of Human-Cloth topological relationship using depth sensor for robotic clothing assistance. RO-MAN 2014: 124-129 - 2013
- [c1]Nishanth Koganti
Estimation of Human Cloth Topological Relationship using Depth Sensor for Robotic Clothing Assistance. AIR 2013: 36:1-36:6
Coauthor Index
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