Dr. Midhun Edatharam Kunnath

Dr. Midhun Edatharam Kunnath

Postdoctoral Researcher

Specializing in robotics with a focus on AI, autonomous navigation, path planning, guidance and control. Passionate about advancing knowledge through innovative research methodologies and interdisciplinary collaboration.

Robotics Researcher
PhD in Guidance and Control, Aerospace Engineering

Reasearch Works

Advancing robotic systems through novel autonomous navigation algorithms for aerial and ground applications. My work bridges path planning, guidance, and control to create autonomous solutions for real-world problems.

Research Area 1

Guidance Framework for Lane Transition in Air Corridors

A new lane transition guidance method for a quadrotor flying in an air corridor system. Utilizing the bearing information of the neighboring vehicles, the guidance method directs the quadrotor for a safe transition between two lanes. Comprising three sequential guidance phases, the method includes discerning guidance for determining neighboring vehicle velocity, longitudinal guidance to identify suitable gaps in the destination lane, and transit guidance to maneuver the quadrotor into the desired gap.

Bearings only information Quadrotor Simulation
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Planar Guidance for Flying Through Gaps

A novel guidance method enabling quadrotors to traverse planar gaps using bearings-only information of gap extremities. The proposed heading direction is designed using an elliptic shaping angle derived from the angular bisector orientation of the gap-bearing angles.

Bearings only information Lyaounov stability analysis Simulation Crazyflie 2.0 Motion capture system
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Three-Dimensional Guidance for Window Traversal

This research work considers a three-dimensional window traversal problem and proposes a guidance solution using the bearing information of window vertices. The guidance logic governs the commanded flight path angle and heading angle of the quadrotor. These commands comprise an angular bisector component with a shaping angle, facilitating traversal along a direction normal to the window plane and passing through the centroid.

Experiment Analysis
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Research Area 3

Autonomous Navigation Through Forest

Traversability-aware motion planning through a forest environment using VLM.

Collaboration Innovation
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Academic Background

My educational journey focused on robotics and control.

PhD in Guidance and Control, Aerospace Engineering

Indian Institute of Science, Bengaluru, India

2019-2024

Thesis: "Bearings-Only Quadrotor Guidance in Gap Traversal Scenarios" Download PDF
Advisor: Dr. Ashwini Ratnoo

M.Tech in Electrical Engineering

National Institute of Technology Calicut, India

2014-2016

Thesis: "Design and real-time implementation of LabVIEW-based Fractional Order PID controller for a Magnetic Levitation system" Download PDF
Specialization: Instrumentation and Control Systems
GPA: 8.36

B.Tech in Electrical and Electronics Engineering

LBS College of Engineering, Kannur University, India

2009-2013

Percentage: 78.03
Honors: University First Rank Holder (Gold Medalist)

Professional Experience

My career path spans both academic and industry research.

Postdoctoral Researcher (AI-InnoCORE Research Fellow)

Flight Dynamics and Control Laboratory, AI-Transformed Aerospace Research Center, Korea Advanced Instititute of Science and Technology (KAIST), Republic of Korea

Oct 2025-Present
  • Arial Robotics
  • Quadrotor Guidance
  • Muti-agent system

Postdoctoral Researcher

Robotics and Artificial Intelligence, Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Sweden

Jan 2025-Sep 2025
  • Develop novel algorithms for autonomous navigation in forest environments
  • LiDAR point cloud data collection
  • Semantic and instance segmentation using AI models
  • Biophysical parameter estimation and Digital terrain modelling

Research Associate

Autonomous Vehicles Laboratory, Department of Aerospace Engineering, Indian Institute of Science(IISc), Bengaluru, India

July 2024- Dec 2024
  • Conducted research on guidance laws for UAVs
  • Experimental flight trials are carried out for validating the proposed guidance laws
  • Published a first-author paper in JGCD

Assistant Professor

National Institute of Technology, Thiruchirappally, India

2017-2018
  • Teaching experience in Control systems, Network theory, Linear integrated circuits, Measurements and measuring instruments

Past Project

Actively engaged in several cutting-edge research initiatives with interdisciplinary teams and industry partners.

AI-based tree segmentation of natural forest environments for virtual forest creation​

Funding: SCA, LTU, Bo Rydin Foundation for Scientific Research [2025]-[2026]

Role: Project Lead

A project on autonomous navigation using Vision-Language Models (VLM), focusing on a Husky ground robot operating within complex forest environments. This project integrates LiDAR-based point cloud data collection and AI-driven methods for tree segmentation, digital terrain modeling, and estimation of tree parameters.

Research Publications

Peer-reviewed articles, conference proceedings, book chapters, and other scholarly works contributing to the advancement of knowledge in Robotics.

Quadrotor Guidance for Window Traversal: A Bearings-Only Approach

Authors: E. K. Midhun, A. Ratnoo

Journal: Journal of Guidance, Control, and Dynamics, Vol. 48, No. 10, pp. 2310 - 2325, 2025

Journal

This paper addresses a novel bearings only three-dimesional guidance law for quadrotor window traversal applications.

Gap Traversal Guidance Using Bearing Information

Authors: E. K. Midhun, A. Ratnoo

Journal: Journal of Guidance, Control, and Dynamics, Vol. 45, No. 12, pp. 2360-2368, 2022

Journal

This manuscript introduces an autonomous plannar gap traversal strategies for quadrotor relying completly on onboard bearings only information.

Local Information-Based Guidance for Lane Transition in Air Corridors

Authors: E. K. Midhun, A. Ratnoo

Journal: Journal of Guidance, Control, and Dynamics, Vol. 47, No. 3, pp. 564 - 572, 2024

Journal

This article proposes a bearing-only information-based quadrotorguidance method for safe lane transition in air corridors.

Bearing Information-Based Trajectory Planning for Window Traversal

Authors: E. K. Midhun, A. Ratnoo

Conference: Proceedings of the 9th International Conference on Control, Decision and Information Technologies (CoDIT), pp. 1291-1295 (2023)

Venue: [Rome, Italy] | Presentation Type: Oral

Conference

This paper presents a novel trajectory planning algorithm for 3- Dimensional window traversal using bearing only information of the window extremities.

Quadrotor Guidance for Traversal through Moving Gaps using Bearing-Only Information

Authors: E. K. Midhun, A. Ratnoo

Conference: AIAA SCITECH 2022 Forum, pp. 2022-0539 (2022)

Venue: [San Diego, US] | Presentation Type: Virtual

Conference

This paper introduces a bearing-only measurement-based guidance method for quadrotor traversal through gaps between moving obstacles in a two-dimensional space.

Safe Traversal Guidance for Quadrotors using Gap Bearing Information

Authors: E. K. Midhun, A. Ratnoo

Conference: Proceedings of the 2021 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 482-487 (2021)

Venue: Athens, Greece | Presentation Type: Virtual

Conference

This paper considers bearing-only measurement-based guidance for a quadrotor unmanned aerial vehicle to navigate through gaps between obstacles in a two-dimensional plane.

LabVIEW based real time implementation of Fractional Order PID controller for a magnetic levitation system

Authors: E. K. Midhun, Sunil Kumar T.K

Conference: 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), pp. 1-6 (2016)

Venue: [Delhi, India] | Presentation Type: Oral

Conference

This paper presents the design and experimental validation of Fractional Order PID controller on a Maglev system using LabVIEW.

Maximum Power Point tracking in PV Systems using Plant Reproduction algorithm

Authors: G. Satheesh Krishnan, P. T. Bijilesh, S. P. Simon, G. V. Puthusserry, E. K. Midhun and T. Mithun

Conference: 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020), pp. 1-6 (2020)

Venue: [Cochin, India] | Presentation Type: Oral

Conference

Social Spider Algorithm assisted LSTM Network towards the SoC estimation of lithium-ion batteries

Authors: Saneep K, Sundareswaran K, P Srinivasa Rao Nayak, G. V. Puthusserry, Kannan M, and E. K. Midhun

Conference: 2025 IEEE International Conference on Smart Technologies for Power, Energy, and Control(STPEC 2025), pp. 1-6 (2025)

Venue: [Goa, India] | Presentation Type: Oral

Conference

Quadrotor Guidance for Window Traversal: A Bearings-Only Approach

Authors: E. K. Midhun, A. Ratnoo

Status: Submitted to JGCD

Preprint: arXiv:2410.14367 | Date: Oct 2024

Preprint

This paper focuses on developing a bearings-only measurement-based three-dimensional window traversal guidance method for quadrotor Uninhabitated Aerial Vehicles.

Get in Touch

I welcome collaborations, speaking engagements, and conversations about research opportunities. Feel free to reach out through any of the following channels.

Contact Information

Postdoctoral Researcher

Flight Dynamics and Control Laboratory

Department of Aerospace Engineering

Korea Advanced Instititute of Science and Technology (KAIST)

Daejeon, 34141, Republic of Korea

Email

midhunek@kaist.ac.kr

Preferred contact method for initial inquiries

Phone

+82 1067445648

Office hours: Weekdays 10am-5pm

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