Hafiq presented his work at IROS 2023 workshop

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

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Nazrul’s paper presented at UR 2023

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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