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Dana Kulic
Professor at Monash University
Dana Kulić is a prominent robotics researcher and professor at Monash University in Australia. She currently serves as the Director of Monash Robotics and was awarded an ARC Future Fellowship in 2020.3
Research Focus
Professor Kulić specializes in:
- Human-robot interaction
- Robot learning
- Human motion analysis
- Humanoid robotics
- Rehabilitation technology
Her work aims to develop autonomous systems that can interact naturally with humans while learning and adapting over time.1 She has made significant contributions to quantifying and controlling safety during human-robot interactions, as well as developing systems for continuous learning from human demonstrations.1
Career Highlights
- Established the Adaptive Systems Lab at the University of Waterloo before joining Monash1
- Co-Investigator of Waterloo Robohub, Canada's largest robotics experimental facility1
- Co-Principal Investigator of the NSERC Canadian Robotics Network1
- Global Innovation Research Visiting Professor at Tokyo University of Agriculture and Technology1
- August-Wilhelm Scheer Visiting Professor at Technical University of Munich1
Current Projects
Professor Kulić is actively involved in several research projects, including:
- Intelligent Robotics for Pharmaceutical Formulation Development (2024-2027)1
- Human models for accelerated robot learning and human-robot interaction (2024-2027)1
- Aerial perching for contact-based inspection in oilfield installations (2024-2026)1
Education
Dana Kulić received her combined B.A.Sc. and M.Eng. in electro-mechanical engineering, as well as her Ph.D. in mechanical engineering from the University of British Columbia, Canada.2
Professor Kulić is known for her innovative work in robotics and continues to lead cutting-edge research at Monash University, contributing to advancements in human-robot interaction and autonomous systems.
Highlights
Work with us! We are looking for a post-doctoral fellow to join us on the recently awarded “Human Models for Accelerated Robot Learning and Human-Robot Interaction” ARC Discovery Project. This project aims to develop novel approaches to teach robots to proficiently interact with humans in a safe and low-cost manner. The successful applicant will develop novel models from which various human behaviours can be generated and used to train human-robot interaction policies in simulation. These models will be constructed by identifying and integrating known human behavioural biases into deep learning models fit to human data. Working closely with Pamela Carreño, Michael Burke and me, the successful candidate will also contribute to the development of innovative robot learning algorithms as well as the evaluation, both in simulation and with real users, of the robot policies trained using the proposed human models and algorithms. This research will enable fast and safe robot training to support the deployment and adoption of robots in human contexts such as healthcare facilities, homes, and workplaces.
More details here:
Very pleased to announce the Call for Papers for Robotics: Science and Systems 2024. The 20th edition of the “Robotics: Science and Systems” (RSS) conference will be held at the Technical University of Delft in Delft, Netherlands, from July 15 - 19, 2024.
For CfP details, please see here: https://lnkd.in/gJM5iuxA
