Australian Research Council - Discovery Scheme
2016-2020
Hussein Abbass, UNSW Canberra
Kathryn Kasmarik, UNSW Canberra
Kay Chen Tan, City University of Hong Kong, Hong Kong SAR
Anastasios Bezerianos, National University of Singapore, Singapore
Mr. Tung Nguyen, Ph.D., On Going
Mr. Leo Ghignone, Ph.D., On Going
Ms. Min Wang, Ph.D., On Going
Ms. Xuejie Liu, Ph.D., On Going
This project aims at creating novel adaptive algorithms to automatically discover those user and task features that vary together to smartly adapt users and simulation tasks to work together harmoniously, seamlessly and effectively. By bringing the user naturally inside the simulation as a task's component, users can improve their experience while task performance is simultaneously optimized. Intended scientific outcomes include novel dynamic user-task profiling algorithms, new adaptive algorithms for user-task co-adaptation, and high impact publications. Prospective practical outcomes include robust and highly effective simulation environments, strong research training, and personnel with superb skills for the Australian knowledge economy.
On 12-13 August 2016, UNSW-Canberra ran interactive displays at National Science Week. UNSW-Canberra had four displays from PEMS, Cool Aeronautics, Trusted Autonomy and the UAV Team. The Trusted Autonomy group offered an interactive robotics environment controlled through gestures (hand movements) where two humans played against each other, with each human attempting to control a team of two robots, navigating them while avoiding the opposing team.
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