Our paper on vehicles adaptability of two major imitation learning pipelines for autonomous driving agents has been presented at the IEEE Intelligent Vehicles Symposium (IEEE IV) 2024 held at the Jeju Shinhwa World Landing Convention Centre, 2-5 June. The paper was presented in the poster session. IEEE IV 2024 showcased a diverse array of 511 […]
Syamimi’s paper presented at IEEE IV 2024 Read More »
Hafiq’s paper on “Deep Reinforcement Learning-Based Mapless Crowd Navigation with Perceived Risk of the Moving Crowd for Mobile Robots” has been accepted to the 21st International Conference on Ubiquitous Robots (UR 2024) to be held at the Kimmel Center for University Life in NYU, Manhattan, New York, USA, from June 24 to 27, 2024. This
Hafiq’s paper on social navigation accepted in UR 2024 Read More »
Syamimi’s paper on “A Comparison of Imitation Learning Pipelines for Autonomous Driving on the Effect of Change in Ego-vehicle” has been accepted to the 35th IEEE Intelligent Vehicles Symposium (IV) 2024. The conference will be held on 2-5 June in Jeju, South Korea. The IEEE IV Symposium is a premier conference in intelligent vehicles and
Syamimi’s paper accepted in the IEEE IV 2024 Read More »
Syamimi is having her research visit to the Institute for Safe Autonomy (ISA) in University of York (UoY), UK. She will be there for four months, Feb-May. She will work under the mentorship of Dr Fanta Camara in exploring the application of game theory in improving the safe autonomy of autonomous car agent. Syamimi’s visit
Syamimi at Institute for Safe Autonomy, University of York, UK Read More »
Thank you for the mention. 強化学習の研究でTurtleBot3が使われていて，Gazebo上でのシミュレーション実験だけでなく，実機実験までやっていて凄い．#ROS #Gazebo #TurtleBot3 pic.twitter.com/LHcRCFx4HV — 東海林ファジィロボット研究所 所長 (@Toukairinn_FUZZ) October 28, 2023
ROBOTIS mentioned Hafiq’s work Read More »
Hafiq’s paper on “Deep Reinforcement Learning-Based Mapless Crowd Navigation with Perceived Risk of the Moving Crowd for Mobile Robots” was accepted to the 2nd Workshop on Social Robot Navigation: Advances and Evaluation (papers) held in conjunction with IEEE International Conference on Intelligent Robots and Systems 2023 (IROS 2023) on 5 October. We couldn’t travel to
Hafiq presented his work at IROS 2023 workshop Read More »
Nazrul’s paper with the title “Optimizing Odometry Accuracy through Temporal Information in Self-Supervised Deep Networks” has been accepted and presented at the 20th International Conference on Ubiquitous Robots (UR 2023) held in the Hawai’i Convention Center, Honolulu, Hawaii. In this paper, we propose a self-supervised deep recurrent convolutional network with a self-attention pipeline for LiDAR-Inertial
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Hafiq’s Deep Reinforcement Learning-based robot is doing well in crowd navigation. The DRL model was trained in one crowd setting and tested in different unseen crowd settings. In simulation, we have tested with up to 12 moving obstacles at a speed close to the robot. In real-world, we have tested with 4 obstacles at a
Hafiq’s DRL-based robot is doing well in crowd navigation Read More »
We are hiring a full-time research assistant (RA) for our human activities discovery project. The work should start in Jan 2023. . The RA will implement the software system we have developed for unsupervised human activity discovery on a Turtlebot 2 mobile robot. This will involve integrating the software system alongside the Navigation stack in
Research assistant position for human activities discovery project Read More »
Hafiq presented his initial work in his MSc at the 9th International Conference on Robot Intelligence Technology and Applications (RiTA 2021). The conference is a hybrid one with on-site and virtual participation. We attended the conference virtually. Hafiq’s paper is “Comparison of Deep Q-Learning, Q-Learning and SARSA Reinforced Learning for Robot Local Navigation”. Abstract. This
Hafiq presented his paper at RiTA 2021 Read More »