Hiba Latifee

Hiba Latifee is a robotics researcher whose work centres on human–robot shared and supervisory teleoperation, learning from demonstrations and imitation learning, developed across research roles at KAIST, KOREATECH and Pakistan’s National Centre of Artificial Intelligence. Her peer-reviewed work appears in venues including IEEE ICRA, the Autonomous Robots journal, AsiaHaptics and IEEE ROBIO.

Alongside robotics she has built an applied-AI and software career, developing generative-AI and LLM-based ed-tech products, designing data science curricula and managing cloud-native software projects. She is an active IEEE Women in Engineering leader.

Education

• M.S., Mechanical Engineering (Robotics & AI), Korea University of Technology and Education (KOREATECH), 2017–2019
• B.E., Computer Engineering, NED University of Engineering & Technology, 2012–2016

Research experience

• Robotics Research Scientist, KAIST, 2019–2020. A machine learning framework distributing control authority in a shared teleoperated robotic system, based on imitation learning
• Graduate Research Assistant, KOREATECH, 2017–2019. Online incremental learning through imitation, allowing an operator to modify a robot’s behaviour during execution
• Researcher, National Centre of Artificial Intelligence, 2016–2017. A haptic-enabled assistive mobility cane, and a robotics education methodology

Selected publications before joining the laboratory

• A. Pervez, H. Latifee, J.-H. Ryu, D. Lee, “Motion Encoding with Asynchronous Trajectories of Repetitive Teleoperation Tasks and its Extension to Human-Agent Shared Teleoperation,” Autonomous Robots, 2019
• H. Latifee, A. Pervez, J.-H. Ryu, D. Lee, “Mini-Batched Online Incremental Learning Through Supervisory Teleoperation with Kinesthetic Coupling,” ICRA 2020
• A. Pervez, H. Latifee, J.-H. Ryu, D. Lee, “Human-Agent Shared Teleoperation: A Case Study Utilizing Haptic Feedback,” AsiaHaptics 2018
• H. O. Latifee et al., “Assistive Mobility Cane Exploiting Skin-Stroke Tactile Haptic Feedback Mechanism for Visually Impaired Persons,” IEEE ROBIO 2017