Ankit Ravankar

I am a Project Associate Professor in the Department of Robotics at Tohoku University, Japan. I obtained my Ph.D. in Human Mechanical Systems and Design Engineering from Hokkaido University, Japan in 2015 majoring in autonomous mobile robot navigation and was a MEXT scholarship recepient from the government of Japan for my graduate studies from 2010-2015 (Masters and Doctoral).

I was previously affiliated with the School of Engineering at Hokkaido University in Japan where I was an Assistant Professor from 2015 to 2021 (same lab as my graduating lab).

My research areas are in mobile robot navigation, path planning, multi-robot systems, and probabilistic inferencing and scene understanding for mobile robots. I am particularly interested in integrating intelligent service robots in healthcare scenarios by utilizing semantic inferencing at object level. I am currently working for the Moonshot R&D program (Goal 3) with Prof. Hirata and researching on the development of new assistive robot systems to support the aging population.

I have also worked on several areas in robotics including: Autonomous Driving in Snow Environments; Agriculture robots: Particularly for vineyard monitoring, weed inseption, spectral imaging using UAVs; Aerial Robotics: For insepction of pier structures, spectral imaging of banana plantations, and inspection for coastal tetrapod rocks.

news

Mar 23, 2025	I will serve as a co-chairman for the 2025 IEEE International Conference on Robotics and Automation IEEE-ICRA EXPO 2025 at Atlanta, Georgia, USA.
Feb 08, 2025	One paper titled “Somnomat Care: A Novel Robotic Bed for Vestibular Stimulation in Nursing Homes” got accepted to 2025 International Conference on Rehabilitation Robotics (ICORR) to be held in Chicago, IL USA, on May 12-16, 2025.
Jan 26, 2025	Our paper titled “Open Vocabulary Object Search Utilizing Large Language Models and Fuzzy Inferencing” presented at the IEEE/SICE (SII2025) in Munich won the Best Student Paper Award.
Jan 18, 2025	Our first work on LLM for service robots titled “Task Planning for a Factory Robot Using Large Language Model” got accepted and published in IEEE-RAL.
Nov 08, 2024	Two papers accepted for IEEE (SII2025) to be held in Munich, Germany in January 2025.
Nov 03, 2024	I have been appointed as Associate Editor for the IEEE Internet of Things Journal.
Sep 20, 2024	I will serve as an Associate Editor for IEEE-International Symposium on System Integration Conference (SII2025).
Sep 02, 2024	I participated in the 33rd IEEE Conference on Human-Robot Interaction (IEEE-ROMAN2024) at Pasadena, LA, USA. Our paper on Avatar Teleoperation was presented during the conference.
Aug 15, 2024	Our paper got accepted to IEEE ACCESS journal.
Jun 03, 2024	One paper got accepted to IEEE 20th International Conference on Automation Science and Engineering IEEE CASE.

selected publications

Sensors

Hitchhiking robots: A collaborative approach for efficient multi-robot navigation in indoor environments

Abhijeet Ravankar, Ankit A Ravankar, Yukinori Kobayashi, and Takanori Emaru

Sensors, 2017

Bib HTML

@article{ravankar2017hitchhiking,
  title = {Hitchhiking robots: A collaborative approach for efficient multi-robot navigation in indoor environments},
  author = {Ravankar, Abhijeet and Ravankar, Ankit A and Kobayashi, Yukinori and Emaru, Takanori},
  journal = {Sensors},
  volume = {17},
  number = {8},
  pages = {1878},
  year = {2017},
  dimensions = {true},
  doi = {https://doi.org/10.3390/s17081878},
  publisher = {MDPI}
}

IEEE-TIM

Autonomous vtol-uav docking system for heterogeneous multirobot team

Eduardo Narváez^*†, Ankit A Ravankar^*†, Abhijeet Ravankar, Takanori Emaru, and Yukinori Kobayashi

IEEE Transactions on Instrumentation and Measurement, 2020

Bib HTML PDF

@article{narvaez2020autonomous,
  title = {Autonomous vtol-uav docking system for heterogeneous multirobot team},
  author = {Narv{\'a}ez, Eduardo and Ravankar, Ankit A and Ravankar, Abhijeet and Emaru, Takanori and Kobayashi, Yukinori},
  journal = {IEEE Transactions on Instrumentation and Measurement},
  volume = {70},
  pages = {1--18},
  year = {2020},
  dimensions = {true},
  doi = {10.1109/TIM.2020.3039649},
  publisher = {IEEE}
}

ACCESS

HPPRM: hybrid potential based probabilistic roadmap algorithm for improved dynamic path planning of mobile robots

Ankit A Ravankar, Abhijeet Ravankar, Takanori Emaru, and Yukinori Kobayashi

IEEE Access, 2020

Bib HTML

@article{ravankar2020hpprm,
  title = {HPPRM: hybrid potential based probabilistic roadmap algorithm for improved dynamic path planning of mobile robots},
  author = {Ravankar, Ankit A and Ravankar, Abhijeet and Emaru, Takanori and Kobayashi, Yukinori},
  journal = {IEEE Access},
  volume = {8},
  pages = {221743--221766},
  year = {2020},
  dimensions = {true},
  doi = {10.1109/MRA.2022.3223256},
  type = {article},
  publisher = {IEEE}
}

IEEE-Sensors

Multi-modal sensor fusion-based semantic segmentation for snow driving scenarios

Sirawich Vachmanus, Ankit A Ravankar, Takanori Emaru, and Yukinori Kobayashi

IEEE sensors journal, 2021

Bib HTML

@article{vachmanus2021multi,
  title = {Multi-modal sensor fusion-based semantic segmentation for snow driving scenarios},
  author = {Vachmanus, Sirawich and Ravankar, Ankit A and Emaru, Takanori and Kobayashi, Yukinori},
  journal = {IEEE sensors journal},
  volume = {21},
  number = {15},
  pages = {16839--16851},
  year = {2021},
  dimensions = {true},
  doi = {10.1109/JSEN.2021.3077029},
  publisher = {IEEE}
}

IEEE-RAM

Care: Cooperation of ai robot enablers to create a vibrant society

Ankit A Ravankar, Seyed Amir Tafrishi, Jose V Salazar Luces, Fumi Seto, and Yasuhisa Hirata

IEEE Robotics & Automation Magazine, 2023

Bib HTML

@article{ravankar2023care,
  title = {Care: Cooperation of ai robot enablers to create a vibrant society},
  author = {Ravankar, Ankit A and Tafrishi, Seyed Amir and Luces, Jose V Salazar and Seto, Fumi and Hirata, Yasuhisa},
  journal = {IEEE Robotics \& Automation Magazine},
  volume = {30},
  number = {1},
  pages = {8--23},
  year = {2023},
  dimensions = {true},
  doi = {10.1109/MRA.2022.3223256},
  type = {article},
  publisher = {IEEE}
}

IEEE-RAL

Running Guidance for Visually Impaired People Using Sensory Augmentation Technology Based Robotic System

Zhenyu Liao, Jose V Salazar Luces, Ankit A Ravankar, and Yasuhisa Hirata

IEEE Robotics and Automation Letters, 2023

Bib HTML PDF

@article{liao2023running,
  title = {Running Guidance for Visually Impaired People Using Sensory Augmentation Technology Based Robotic System},
  author = {Liao, Zhenyu and Luces, Jose V Salazar and Ravankar, Ankit A and Hirata, Yasuhisa},
  journal = {IEEE Robotics and Automation Letters},
  year = {2023},
  volume = {8},
  number = {9},
  pages = {5323-5330},
  type = {article},
  doi = {10.1109/LRA.2023.3294718},
  publisher = {IEEE}
}

IEEE-RAL

Concept and prototype development of adaptive touch walking support robot for maximizing human physical potential

Junya Terayama, Ankit A Ravankar, Jose Victorio Salazar Luces, Seyed Amir Tafrishi, and Yasuhisa Hirata

IEEE Robotics and Automation Letters, 2024

Bib HTML PDF

@article{terayama2024concept,
  title = {Concept and prototype development of adaptive touch walking support robot for maximizing human physical potential},
  author = {Terayama, Junya and Ravankar, Ankit A and Luces, Jose Victorio Salazar and Tafrishi, Seyed Amir and Hirata, Yasuhisa},
  journal = {IEEE Robotics and Automation Letters},
  year = {2024},
  type = {article},
  doi = {https://doi.org/10.1109/LRA.2024.3415928},
  publisher = {IEEE}
}

ACCESS

Semantic-based Multi-Object Search Optimization in Service Robots Using Probabilistic and Contextual Priors

Akash Chikhalikar, Ankit A Ravankar, Jose Victorio Salazar Luces, and Yasuhisa Hirata

IEEE Access, 2024

Bib HTML

@article{chikhalikar2024semantic,
  title = {Semantic-based Multi-Object Search Optimization in Service Robots Using Probabilistic and Contextual Priors},
  author = {Chikhalikar, Akash and Ravankar, Ankit A and Luces, Jose Victorio Salazar and Hirata, Yasuhisa},
  journal = {IEEE Access},
  year = {2024},
  publisher = {IEEE},
  type = {article},
  doi = {10.1109/ACCESS.2024.3444478}
}