Videos

This is a collection of videos about my research.

Fairness and explainability

Paper: M. Brandao, M. Mansouri, A. Mohammed, P. Luff, and A. Coles, “Explainability in Multi-Agent Path/Motion Planning: User-study-driven Taxonomy and Requirements,” in International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2022, pp. 172–180.


Invited talk: “Are robots safe for everyone?”, Safe RL Workshop @ IEEE MFI 2022.


Invited talk: “Fairness and explainability in robot motion”, AiTech Agora, 2021.


Robot planning

Paper: M. Brandao and I. Havoutis, “Learning sequences of approximations for hierarchical motion planning,” in Proceedings of the International Conference on Automated Planning and Scheduling (ICAPS), 2020.


Paper: M. Brandao, O. B. Aladag, and I. Havoutis, “GaitMesh: controller-aware navigation meshes for long-range legged locomotion planning in multi-layered environments,” IEEE Robotics and Automation Letters (RAL), vol. 5, no. 2, pp. 3596–3603, 2020.


Demonstration: “Autonomous Inspection in Changing Industrial Environments with ANYmal”, UKRI/EPSRC ORCA Hub Demonstration, October 2019.


Paper: M. Brandao, M. Fallon, and I. Havoutis, “Multi-controller multi-objective locomotion planning for legged robots,” in 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019, pp. 4714–4721.


Paper: M. Brandao, K. Hashimoto, and A. Takanishi, “SGD for robot motion? The effectiveness of stochastic optimization on a new benchmark for biped locomotion tasks,” in 17th IEEE-RAS International Conference on Humanoid Robots (Humanoids), 2017.


Paper: M. Brandao, K. Hashimoto, J. Santos-Victor, and A. Takanishi, “Optimizing energy consumption and preventing slips at the footstep planning level,” in 15th IEEE-RAS International Conference on Humanoid Robots (Humanoids), 2015, pp. 1–7.