Tag: navigation
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AI Lab
Hafiq's paper on social navigation accepted in UR 2024
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, [read more]
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ROBOTIS mentioned Hafiq's work
Thank you for the mention. [read more]
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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 [read more]
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Hafiq's DRL-based robot is doing well in crowd navigation
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. [read more]
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SLAM has been implemented on the Wanderer-v1
Amirul has implemented the Simultaneous Localization And Mapping (SLAM) on our Wanderer-v1 robot. The implementation was done from scratch involving writing Python scripts for the kinematics, motion and sensor models, particle filter for localization and A-star search for path planning. [read more]
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ROS based SLAM on our Eddie mobile robot
Hafiq has completed the implementation of the navigation ability for our Parallax Eddie mobile platform. [read more]