I Made Aswin Nahrendra

Ph.D. at Korea Advanced Institute of Science and Technology (KAIST)

About Me

I obtained my Ph.D in the School of Electrical Engineering and Robotics Program, KAIST. During my PhD course, I worked with Prof. Hyun Myung at the Urban Robotics Laboratory My current research interests lie in the area of control, reinforcement learning, and the interplay between them for highly resilient field robotics applications.

Education

Ph.D.

Electrical Engineering and Robotics Program

Korea Advanced Institute of Science and Technology, South Korea

Sep. 2019 - Feb. 2024

M.S.

Electrical Engineering

Bandung Institute of Technology, Indonesia

Aug. 2018- Jul. 2019

B.S.

Electrical Engineering

Bandung Institute of Technology, Indonesia

Aug. 2014 - Jul. 2018

Research Experience

Research Intern

Sony AI, Japan

Jan. 2024 - present

Graduate Research Assistant

KAIST, Rep. of Korea

Sep. 2019 - Feb. 2024

Research Highlights


DreamWaQ: Learning Robust Quadrupedal Locomotion With Implicit Terrain Imagination via Deep Reinforcement Learning

I Made Aswin Nahrendra, Byeongho Yu, and Hyun Myung

IEEE International Conference on Robotics and Automation (ICRA), 2023

Paper Project


Robust Recovery Motion Control for Quadrupedal Robots via Learned Terrain Imagination

I Made Aswin Nahrendra, Minho Oh, Byeongho Yu, Hyungtae Lim, and Hyun Myung

Experiment-oriented Locomotion and Manipulation Research Workshop @ Robotics: Science and Systems (RSS), 2023

Paper Project


Retro-RL: Reinforcing Nominal Controller with Deep Reinforcement Learning for Tilting-Rotor Drones

I Made Aswin Nahrendra, Christian Tirtawardhana, Byeongho Yu, Eungchang Mason Lee, and Hyun Myung

IEEE Robotics and Automation Letters (RA-L), 2022

IEEE/RSJ International Conference on Intelligent Robot and Systems (IROS), 2022 [Oral presentation]

Paper

Other Publications

Awards

Autonomous Quadrupedal Robot Challenge in ICRA 2023, London

Role: Robust locomotion control using DreamWaQ and DreamRiser

KROC 2023 RED Show

Autonomous Flying Drone for Unmanned Reconnaissance in Cluttered Situations

Role: Design and control of collision-robust drone platform


The Only Team that Finished the Whole Course

Team QAIST++ of KAIST

https://www.youtube.com/watch?v=GliSRAUgi2s

Future Challenge Defense Technology Contest 2022

Role: Design and control of collision-robust drone platform