Roberto Martin-Martin

Assistant Professor
Dr. Roberto Martin-Martin explores the intersection of robotics, computer vision, and machine learning. In his research, he integrates physical and optimal interactions with the environment as part of novel perception and learning procedures. This provides robots new versatile and robust skills to perform tasks in human unstructured environments like homes. He worked as Postdoctoral scholar at the Stanford Vision and Learning Lab with Fei-Fei Li and Silvio Savarese. Dr. Martin-Martin received his Ph.D. and master's degree from Technische Universität Berlin (TUB) working with Professor Oliver Brock, and his BSc. degree from Universidad Politécnica de Madrid.

Research

Research Areas: 

Select Publications

Xia, F., Shen, W. B., Li, C., Kasimbeg, P., Tchapmi, M., Toshev, A., Martin-Martin, R., Savarese, S.. 2020. Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments.
Mandlekar, A., Xu, D., Martin-Martin, R., Savarese, S., Li Fei-Fei, Toussaint, M., Bicchi, A., Hermans, T.. 2020. GTI: Learning to Generalize Across Long-Horizon Tasks from Human Demonstrations.
Hirose, N., Xia, F., Martin-Martin, R., Sadeghian, A., Savarese, S.. 2019. Deep Visual MPC-Policy Learning for Navigation.
Hirose, N., Sadeghian, A. R., Xia, F., Martin-Martin, R., Savarese, S.. 2019. VUNet: Dynamic Scene View Synthesis for Traversability Estimation Using an RGB Camera.
Pokle, A., Martin-Martin, R., Goebel, P., Chow, V., Ewald, H. M., Yang, J., Wang, Z., Sadeghian, A., Sadigh, D., Savarese, S., Vazquez, M., IEEE, Howard, A., Althoefer, K., Arai, F., Arrichiello, F., Caputo, B., Castellanos, J., Hauser, K., Isler, Kim, J.. Deep Local Trajectory Replanning and Control for Robot Navigation.

Awards & Honors

2020 - Selected as RSS Pioneer 2020: "Interaction Loops in Robot Perception, Learning and Control"
2017 - Nominated for Best Paper at IROS 2017: "Probabilistic Multi-Class Segmentation for the Amazon Picking Challenge", Jonschkowski, R., Eppner, C., Hoefer, S., Martin-Martin, R., Brock, O.
2016 - Best Systems Paper Award at RSS 2016: "Lessons from the Amazon Picking Challenge: Four Aspects of Building Robotic Systems", Martín-Martín, Eppner, Höfer, Jonschkowski, Sieverling, Wall, Brock
2015 - Winner of the Amazon Picking Challenge 2015
2014 - Nominated for Best Paper at IROS 2014: "Online Interactive Perception of Articulated Objects with Multi-Level Recursive Estimation Based on Task-Specific Priors", Martin-Martin, R., Brock, O
2014 - Nominated for Best Student Paper at IROS 2014: "Online Interactive Perception of Articulated Objects with Multi-Level Recursive Estimation Based on Task-Specific Priors", Martin-Martin, R., Brock, O
2014 - Nomitated for Best Cognitive Paper at IROS 2014: "Online Interactive Perception of Articulated Objects with Multi-Level Recursive Estimation Based on Task-Specific Priors", Martin-Martin, R., Brock, O