|ZOOL H ISMAIL|
Associate Professor Ir Dr
PhD, PEPC (PEng), CEng, CMarEng, MIMarEST, SMIEEE, MIET, AAE
Center for Artificial Intelligence and Robotics
Department of Electronic System Engineering
Universiti Teknologi Malaysia
|Universiti Teknologi Malaysia|
Jalan Sultan Yahya Petra, 54100, Kuala Lumpur, Malaysia
Office: Level 8, MJIIT Building
Zool Hilmi Ismail is a research member of Malaysia-Japan International Institute of Technology and Center for Artificial Intelligence and Robotics at Universiti Teknologi Malaysia in Kuala Lumpur. He was also appointed as a visiting researcher at Kyoto University and Jordan University of Science & Technology in 2014 and 2016, respectively. He is a registered Professional Engineer with Practising Certificate under the Board of Engineers Malaysia, a member of Society for Underwater Technology, The Institution of Engineering and Technology, Institute of Electrical and Electronics Engineers – Oceanic Engineering Society, Asian Control Association, member and a registered chartered marine engineer of the Institute of Marine Engineering, Science and Technology. He has received a number of awards from International RoboCup Competitions (Service Robot Category). In 2017, he was appointed as one of committee member for International RoboCup@Home Education.ORCID | SCOPUS | ResearcherID
- Robot motion planning: methods for planning robot motion to efficiently complete complex tasks.
- Planning under uncertainty: planning and sensing for operation in unknown environments.
- Persistent monitoring and scene reconstruction: monitoring and building real-time maps for complex 3D environments.
- Future transportation systems: coordinating and dispatching vehicles for ride-sharing and urban transportation.
- Human-robot interaction: coordinating robots to work with humans in task specification and collaborative assembly.
- Distributed and submodular optimization: Collective decision making strategies for objectives that exhibit diminishing returns.
- Dynamic vehicle routing: efficient dispatching robots to respond to task requests in real-time.
- Other areas of interest include informative path planning, task allocation, formation control, consensus/rendezvous and ocean sampling.
To learn more, visit the CAIRO UTM website.
Zool H. Ismail — Universiti Teknologi Malaysia