If you made any changes in Pure these will be visible here soon.

Personal profile


Ayesha Jena is a doctoral student in the Department of Computer Science at the Faculty of Engineering, LTH at Lund University. She received her Master's in Robotics from the University of Bristol, the United Kingdom in 2020. She started her Ph.D. in Computer Science with the Lund part of the collaborative ELLIT-funded (Excellence Centre at Linköping – Lund in Information Technology) project on Distributed Situation Awareness and Mixed-Initiative Interaction for Collaborative Robotics. Her research areas are currently focused on Human-Robot Interaction, Cognitive Robotics, and Artificial intelligence.


A brief about her work:

With Industry 4.0, it has become common to see robots actively collaborating with humans within workspaces. The challenge is to develop robots operating in shared spaces within unstructured environments. A promising approach to optimizing the operational performance of Human-Robot Interaction (HRI) is to consider the Mixed-Initiative approach in which tasks and authority of humans and agents are dynamically defined based on abilities. Her aim is to have an interaction and reasoning framework for effective HRI collaboration.



Dive into the research topics where Ayesha Jena is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • Chaos to Control: Human Assisted Scene Inspection

    Jena, A. & Topp, E. A., 2023 Mar 13, HRI 2023 - Companion of the ACM/IEEE International Conference on Human-Robot Interaction. IEEE Computer Society, p. 491-494 4 p. (ACM/IEEE International Conference on Human-Robot Interaction).

    Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

    Open Access