Post-Doc, Massachusetts Institute of TechnologyPh.D., University of California San DiegoM.S., University of Texas at El PasoB.S., Bangladesh University of Engineering and Technology
My research focuses on building robotic systems that can fluently coordinate and collaborate with people in complex human environments - for example, in a factory setting in close proximity with people. In order to successfully act within a group, a robot must be able to perceive and predict the intentions of other group members and use that knowledge to determine when, where, and how to act for the team's benefit. My work uses robotics, artificial intelligence, computer vision, and machine learning approaches to tackle these problems.
Awarded Artificial Intelligence Journal (AIJ) student award at Robotics: Science and Systems (RSS) Conference2016
Received ACM/IEEE Human-Robot Interaction (HRI) Pioneers Scholarship2016
Islam, M. M. and Iqbal, T (2020). HAMLET: A Hierarchical Multimodal Attention-based Human Activity Recognition Algorithm IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Iqbal, T., Li, S., Fourie, C., Hayes, B., and Shah, J. A. (2019). Fast Online Segmentation of Activities from Partial Trajectories. IEEE International Conference on Robotics and Automation (ICRA).
Iqbal, T. and Riek, L. D. (2017). Coordination Dynamics in Multi-human Multirobot Teams. IEEE Robotics and Automation Letters (RA-L), vol. 2, no. 3, pp. 1712-1717.
Iqbal, T., Rack, S., and Riek, L. D. (2016). Movement Coordination in Human- Robot Teams: A Dynamical Systems Approach. IEEE Transactions on Robotics (T-RO), vol. 32, no. 4, pp. 909-919.
Iqbal, T. and Riek, L. D. (2016). A Method for Automatic Detection of Psychomotor Entrainment. IEEE Transactions on Affective Computing (T-AC), vol. 7, no. 1, pp. 3-16.