Seminar: Advancements in Robust SLAM, 21st March, 1:00pm
When: Thursday 21st of March, 1:00pm AEDT Where: This seminar will be partially presented at the ACFR seminar area, J04 lvl 2 (Rose St Building) and partially online via Zoom. RSVP Speaker: Dr Milad Ramezani Title: Advancements in Robust SLAM Abstract: In this talk, I will discuss some of my recent research on integrating deep …
Seminar: Oxa – Unlocking the Power of Self Driving Autonomy, 14th March, 1:00pm
When: Thursday 14th of March, 1:00pm AEDT Where: This seminar will be partially presented at the ACFR seminar area, J04 lvl 2 (Rose St Building) and partially online via Zoom. RSVP Speaker: Dr Stephen Barkby Title: Oxa – Unlocking the Power of Self Driving Autonomy Abstract: Oxa is an autonomous vehicle software company that was …
Seminar: My attempts to synchronise sensors, 22nd Feb, 1:00pm
When: Thursday 22nd of February, 1:00pm AEDT Where: This seminar will be partially presented at the ACFR lab lvl 4 conference room (J18) and partially online via Zoom. RSVP Speaker: Dr Mao Shan Title: My attempts to synchronise sensors Abstract: The talk is more of a technical one sharing the effort undertaken in both past …
Seminar: Using synthetic tree data for supervised deep learning from forest LiDAR point clouds, 15th Feb, 1:00pm
When: Thursday 15th of February, 1:00pm AEST Where: This seminar will be partially presented at the Rose Street Seminar area (J04) and partially online via Zoom. RSVP Speaker: Dr Mitch Bryson Title: Using synthetic tree data for supervised deep learning from forest LiDAR point clouds Abstract: The Australian Centre for Robotics participates in several collaborative …
Seminar: Learned Imaging Systems, 11th Dec, 12:00pm
When: Monday 11th of December, 12:00pm AEDT Where: This seminar will be partially presented at the ACFR lab lvl 4 conference room (J18) and partially online via Zoom. RSVP Speaker: Prof Wolfgang Heidrich Title: Learned Imaging Systems Abstract: Computational imaging systems are based on the joint design of optics and associated image reconstruction algorithms. Of …
PhD Thesis Defence: Motion Planning for Underactuated Systems through Path Parameterisation, 12th Dec, 11am
When: Tuesday 12th of Dec, 11am AEDT Where: This seminar will be partially presented at the Rose Street Seminar area (J04) and partially online via Zoom. RSVP Candidate: Damian Abood Title: Motion Planning for Underactuated Systems through Path Parameterisation Abstract: Underactuated systems are becoming an essential field of study within robotics given the rapid advancement …
Seminar: Resilient perception for off-road autonomous ground vehicles, 05th Dec, 11:00am
When: Tuesday 05th of December, 11:00am AEDT Where: This seminar will be partially presented at the ACFR lab lvl 4 conference room (J18) and partially online via Zoom. RSVP Speaker: AProf Thierry Peynot Title: Resilient perception for off-road autonomous ground vehicles Abstract: In this seminar I will present some of my latest research conducted at …
Seminar: Robust learning and control in Surgical robotics, 30th Nov, 1pm
When: Thursday 30th of Nov, 1pm AEDT Where: This seminar will be partially presented at the Rose Street Seminar area (J04) and partially online via Zoom. RSVP Speaker: Jing Cheng Title: Robust Learning and Control in Surgical Robotics Abstract: Surgical robotics is a promising field of robotics research. Recent advances in deep learning and robotic …
Seminar: Robotics & Automation in Underground Mining, 16th Nov, 1:00pm
When: Thursday 16th of November, 1:00pm AEDT Where: This seminar will be partially presented at the ACFR lab lvl 4 conference room (J18) and partially online via Zoom. RSVP Speaker: Jared Millane Title: Robotics & Automation in Underground Mining Abstract: The world’s growing demand for essential minerals and resources is driving mining companies to more …
Seminar: Deep Surface Meshes, 7th Nov, 1:00pm
When: Tuesday 7th of November, 1:00pm AEDT Where: This seminar will be partially presented at the ACFR lab lvl 4 conference room (J18) and partially online via Zoom. RSVP Speaker: Prof Pascal Fua Title: Deep Surface Meshes Abstract: Geometric Deep Learning has made striking progress with the advent of Deep Implicit Fields. They allow for …