江南体育

Dr Claudio Zito

Role
Assistant Professor
Section
School of Mathematical & Computer Sciences

About

Dr Claudio Zito is an Assistant Professor at the School of Mathematical and Computer Science in 江南体育 University Dubai since 2023. He teaches programming, databases, and intelligent robotics to UG and PG in AI and Data Sciences courses.

Prior to joining HWUD, Claudio was a Lead Scientist in Robot Control and Learning at the Technology Innovation Institute in Abu Dhabi. Previously, he was an Assistant Professor in AI and Computer Science at the University of Birmingham, UK.

Biography

Academic Leadership and Affiliations:

  • Course leader for MSc Research Proposal course in HWUD
  • IEEE member
  • Member of UAE鈥檚 AI Expert board (2020-2023)

Qualifications

  • PhD in AI and Robotics from the University of Birmingham, UK (2015)
  • MPhil in AI and ML from the University of Pisa, IT (2010)
  • BSc in Mathematical and Computer Science from the University of Siena, IT (2006)
Research

Dr. Claudio Zito鈥檚 primary research interest lies in Cognitive Robotics鈥攖he endeavour to equip a robot with intelligent behaviours for navigating uncertain and unfamiliar environments. His expertise spans several domains, including probabilistic robotics, robot planning and learning, robot manipulation, and generative models.

Dr. Zito has made significant contributions to the field. He participated in two European FP7 projects focused on robot manipulation (GeRT and PaCMan). Additionally, he collaborated on various cognitive robotics projects funded by the EPSRC, including a partnership with the UK National Nuclear Centre. At TII, he led the robot control and learning group.

His scholarly impact is evident through the publication of 20+ research papers in peer-reviewed academic journals and international conferences. Dr. Zito鈥檚 work continues to advance the field of Cognitive Robotics and shape the future of intelligent robotic systems.

Publications

ORCID:

鈥狦oogle Scholar:

ResearchGate:

C. Zito and E. Ferrante. 鈥淥ne-shot learning for autonomous aerial manipulation鈥�. Frontiers in Robotics and AI, 2022. 

鈥婼. Veselic, C. Zito and D. Farina. 鈥淗uman-Robot Interaction with Robust Prediction of Movement Intention Surpasses Manual Control鈥�.  Frontiers in Neurorobotics, 2021.

鈥婻. Howard and C. Zito. 鈥淟earning Transferable Push Manipulation Skills in Novel Contexts鈥�.  Frontiers in Neurorobotics, 2021. 

鈥婮. Stüber, C. Zito and R. Stolkin. 鈥淟et's Push Things Forward: A Survey on Robot Pushing鈥�.  Frontiers in Robotics and AI, 7:8. 2020.

C. J. Rosales, F. Spinelli, M. Gabiccini, C. Zito and J. L. Wyatt. 鈥淕PAtlasRRT: A Local Tactile Exploration Planner for Recovering the Shape of Novel Objects鈥�. Int鈥檒 Journal of Humanoid Robotics (IJHR). Volume 15, Issue 01, 27 pp. 2018.

K. Heiwolt, C. Zito, M. Nowak, C. Castellini and R. Stolkin. 鈥淎utomatic Detection of Myocontrol Failures Based upon Situational Context Information鈥�. Proc. of IEEE/RAS-EMBS Int鈥檒 Conf. on Rehabilitation Robotics (ICORR). 2019.

J. Stüber, M. Kopicki and C. Zito. 鈥淔eature-Based Transfer Learning for Robotic Push Manipulation鈥�. Proc. of IEEE Int鈥檒 Conf. on Robotics and Automation (ICRA). 2018.

C. Zito, M. S. Kopicki, R. Stolkin, C. Borst, F. Schmidt, M. A. Roa and J. L. Wyatt.  鈥淪equential Trajectory Re-Planning with Tactile Information Gain for Dextrous Grasping under Object-Pose Uncertainty鈥�. Proc. of IEEE/RSJ Int鈥檒 Conf. on Intelligent Robots and Systems (IROS), pp. 2013-2040. 2013.

锘緾. Zito, R. Stolkin, M. Kopicki, J. L. Wyatt. 鈥淭wo-level RRT Planner for Robotic Push Manipulation鈥�. Proc. of IEEE/RSJ Int鈥檒 Conf. on Intelligent Robots and Systems (IROS), pp. 678-685. 2012.