[1]
Z. Xu, R. Papallas, J. Modisett, M. Billeter, and M. Dogar
"Tracking and Control of Multiple Objects during Non-Prehensile Manipulation in Clutter".
IEEE Transactions on Robotics. 2025
Publications
Click on the title of each paper to access a pre-print, the full paper, videos and code.
Journal Papers
[2]
R. Papallas, A. G. Cohn, and M. Dogar
"Online Replanning With Human-in-the-Loop for Non-Prehensile Manipulation in Clutter — A Trajectory Optimization Based Approach".
IEEE Robotics and Automation Letters (RA-L). 2020
Peer-Reviewed Conference Papers
[3]
D. Russell, R. Papallas, and M. Dogar
"Online state vector reduction during model predictive control with gradient-based trajectory optimisation".
International Workshop on the Algorithmic Foundations of Robotics (WAFR). 2024
[4]
Z. Xu, R. Papallas, and M. Dogar
"Physics-Based Object 6D-Pose Estimation during Non-Prehensile Manipulation".
International Symposium on Experimental Robotics (ISER). 2023
[5]
S. Wang, R. Papallas, M. Leonetti, and M. Dogar
"Goal-Conditioned Action Space Reduction for Deformable Object Manipulation".
IEEE International Conference on Robotics and Automation (ICRA). 2023
[6]
D. Russell, R. Papallas, and M. Dogar
"Adaptive approximation of dynamics gradients via interpolation to speed up trajectory optimisation".
IEEE International Conference on Robotics and Automation (ICRA). 2023
[7]
R. Papallas, and M. Dogar
"To ask for help or not to ask: A predictive approach to human-in-the-loop motion planning for robot manipulation tasks".
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 2022
[8]
R. Papallas, and M. Dogar
"Non-Prehensile Manipulation in Clutter with Human-In-The-Loop".
IEEE International Conference on Robotics and Automation (ICRA). 2020
[9]
W. Bejjani, R. Papallas, M. Leonetti, and M. Dogar
"Planning with a Receding Horizon for Manipulation in Clutter Using a Learned Value Function".
IEEE-RAS International Conference on Humanoid Robots (Humanoids). 2018