Koganti Nishanth - My portal

Profile Information

Degree: PhD(Nara Institute of Science and Technology)
Masters(Nara Institute of Science and Technology)
Bachelors(Indian Institute of Technology Jodhpur)

J-GLOBAL ID: 201801002403393984
researchmap Member ID: B000290111

External link: http://buntyke.github.io

Research Interests

Research Areas

Research History

Apr, 2018 - Present

Assistant Professor, Graduate School of Science and Technology, Nara Institute of Science and Technology
Oct, 2017 - Mar, 2018

Postdoctoral Researcher, Graduate School of Engineering, The University of Tokyo

Education

Oct, 2014 - Sep, 2017

Doctor of Engineering, Graduate School of Information Science, Nara Institute of Science and Technology
Oct, 2012 - Sep, 2014

Masters in Engineering, Graduate School of Information Science, Nara Institute of Science and Technology
Jul, 2008 - Apr, 2012

Bachelors in Technology, Electrical Engineering, Indian Institute of Technology Jodhpur

Awards

IROS 2015 Best Application Paper Award, IEEE

Koganti Nishanth

Papers

Designing Efficient Neural Attention Systems Towards Achieving Human-level Sharp Vision

Rahman H, A. G. Abdul, Nishanth Koganti, Alfredo Solano, Yusuke Iwasawa, Kotaro Nakayama, Yutaka Matsuo

International Conference on Learning Representations, Workshop Track (ICLR 2018), 1-5, Apr, 2018 Peer-reviewed
Virtual Reality as a User-friendly Interface for Learning from Demonstration

Koganti Nishanth, Abdul H, A. G. Rahman, Yusuke Iwasawa, Kotaro Nakayama, Yutaka Matsuo

International Conference on Human Factors in Computing Systems, Extended Abstracts (CHI 2018), Apr, 2018 Peer-reviewed
Data - efficient Learning of Robotic Clothing Assistance using Bayesian Nonparametric Latent Variable Models

Koganti Nishanth

Nara Institute of Science and Technology, Sep, 2017 Peer-reviewed
Bayesian Nonparametric Learning of Cloth Models for Real-Time State Estimation

Nishanth Koganti, Tomoya Tamei, Kazushi Ikeda, Tomohiro Shibata

IEEE TRANSACTIONS ON ROBOTICS, 33(4) 916-931, Aug, 2017 Peer-reviewed
Robotic Cloth Manipulation for Clothing Assistance Task using Dynamic Movement Primitives

Joshi P. Ravi, Nishanth Koganti, Tomohiro Shibata

ACM/RSI International Conference on Advances in Robotics (AIR 2017), 14-19, Jun, 2017 Peer-reviewed
A study on human-robot collaboration for table-setting task.

Krati Saxena, Rollyn T. Labuguen, Ravi Prakash Joshi, Nishanth Koganti, Tomohiro Shibata

IEEE International Conference on Robotics and Biomimetics (RoBio 2017), 183-188, 2017 Peer-reviewed
Bayesian Nonparametric Motor-skill Representations for Efficient Learning of Robotic Clothing Assistance

Koganti Nishanth, Tomoya Tamei, Kazushi Ikeda, Tomohiro Shibata

Proceedings of Workshop on Practical Bayesian Nonparametrics, NIPS 2016, 1-5, Dec, 2016 Peer-reviewed
Modeling Occupancy Grids using EDHMM for Dynamic Environments

Dadhich Abhinav, Nishanth Koganti, Tomohiro Shibata

ACM/RSI International Conference on Advances in Robotics (AIR 2015), 60-66, Jul, 2015 Peer-reviewed
Cloth Dynamics Modeling in Latent Spaces and its Application to Robotic Clothing Assistance

Nishanth Koganti, Jimson Gelbolingo Ngeo, Tamei Tomoya, Kazushi Ikeda, Tomohiro Shibata

2015 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 3464-3469, 2015 Peer-reviewed
Estimation of Human-Cloth Topological Relationship using Depth Sensor for Robotic Clothing Assistance

Koganti Nishanth

Nara Institute of Science and Technology, Sep, 2014 Peer-reviewed
Real-time Estimation of Human-Cloth Topological Relationship using Depth Sensor for Robotic Clothing Assistance

Nishanth Koganti, Tomoya Tamei, Takamitsu Matsubara, Tomohiro Shibata

2014 23RD IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION (IEEE RO-MAN), 124-129, 2014 Peer-reviewed
Estimation of Human-Cloth Topological Relationship using Depth Sensor for Robotic Clothing Assistance

Koganti Nishanth, Tomoya Tamei, Takamitsu Matsubara, Tomohiro Shibata

ACM/RSI International Conference on Advances in Robotics (AIR 2013), 1-6, Jul, 2013 Peer-reviewed