Kyohei Otsu - Concepedia

Author

Kyohei Otsu

Jet Propulsion Laboratory ORCID

Also Known As

K. Otsu, Kyohei OTSU, Kyohei Otsu, Kyohei Otsu*, Otsu, Kyohei

Publications

1.1K

Citations

H-Index

Concepts

All Affiliations

Jet Propulsion Laboratory California Institute of Technology The University of Tokyo Georgia Institute of Technology Carnegie Mellon University

About

Kyohei Otsu is an author at Jet Propulsion Laboratory specializing in engineering, field robotics, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	14	14	520
2	Computer Science	12	12	469
3	Computer Engineering	3	3	102
4	Health Sciences	2	2	31
5	Social Sciences	1	1	20

Kyohei Otsu

Publications

949

Citations

H-Index

Page 1

	Year	Citations
STEP: Stochastic Traversability Evaluation and Planning for Risk-Aware Off-road Navigation David P. Fan, Kyohei Otsu, Y. Kubo,	2021	105
NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM\n CoSTAR at the DARPA Subterranean Challenge Ali Agha, Kyohei Otsu, Benjamin Morrell, arXiv (Cornell University)	2021	105
Autonomous Terrain Classification With Co- and Self-Training Approach Kyohei Otsu, Masahiro Ono, Thomas J. Fuchs, IEEE Robotics and Automation Letters EngineeringMachine LearningGeomorphologyField RoboticsAutonomous Terrain Classification	2016	94
Vision-Based Estimation of Driving Energy for Planetary Rovers Using Deep Learning and Terramechanics Shoya Higa, Yumi Iwashita, Kyohei Otsu, IEEE Robotics and Automation Letters Driving EnergyGeometric LearningConvolutional Neural NetworkEngineeringMachine Learning	2019	63
EELS: Autonomous snake-like robot with task and motion planning capabilities for ice world exploration Tiago Vaquero, Guglielmo Daddi, Rohan Thakker, Science Robotics	2024	56
Supervised Autonomy for Communication-degraded Subterranean Exploration by a Robot Team Kyohei Otsu, Scott Tepsuporn, Rohan Thakker, Artificial IntelligenceDarpa Subterranean ChallengeRescue RobotMulti-robot TeamEngineering	2020	51
NeBula: TEAM CoSTAR's Robotic Autonomy Solution that Won Phase II of DARPA Subterranean Challenge Ali Agha, Kyohei Otsu, Benjamin Morrell, Field Robotics	2022	49
PLGRIM: Hierarchical Value Learning for Large-scale Exploration in Unknown Environments Sung-Kyun Kim, Amanda Bouman, Gautam Salhotra, Proceedings of the International Conference on Automated Planning and Scheduling Artificial IntelligenceEngineeringMachine LearningField RoboticsIntelligent Robotics	2021	46
Where to Map? Iterative Rover-Copter Path Planning for Mars Exploration Takahiro Sasaki, Kyohei Otsu, Rohan Thakker, IEEE Robotics and Automation Letters	2020	41
CHORD: Distributed Data-Sharing via Hybrid ROS 1 and 2 for Multi-Robot Exploration of Large-Scale Complex Environments Muhammad Fadhil Ginting, Kyohei Otsu, Jeffrey A. Edlund, IEEE Robotics and Automation Letters EngineeringField RoboticsReliable Communication SystemPopular Robotics MiddlewareTeam Costar	2021	39

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