Dimitrios Kanoulas, Ph.D.
Affiliations: | 2014 | Computer Science | Northeastern University, Boston, MA, United States |
Area:
Robotics Engineering, Computer Science, General EngineeringGoogle:
"Dimitrios Kanoulas"Parents
Sign in to add mentor| Marsette Vona | grad student | 2014 | Northeastern University | |
| (Curved Surface Patches for Rough Terrain Perception.) | ||||
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Publications
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| Zhou C, Wan Y, Peers C, et al. (2024) Advancing teleoperation for legged manipulation with wearable motion capture. Frontiers in Robotics and Ai. 11: 1430842 |
| Kanoulas D, Khattak S, Loianno G. (2024) Editorial: Rising stars in field robotics: 2022. Frontiers in Robotics and Ai. 11: 1379661 |
| Hirao Y, Wan W, Kanoulas D, et al. (2023) Body Extension by Using Two Mobile Manipulators. Cyborg and Bionic Systems (Washington, D.C.). 4: 0014 |
| Tsinganos K, Chatzilygeroudis K, Hadjivelichkov D, et al. (2022) Behavior policy learning: Learning multi-stage tasks solution sketches and model-based controllers. Frontiers in Robotics and Ai. 9: 974537 |
| Kottege N, Sentis L, Kanoulas D. (2022) Editorial: Towards Real-World Deployment of Legged Robots. Frontiers in Robotics and Ai. 8: 829403 |
| Gopalakrishnan R, Kanoulas D, Karuturi NN, et al. (2020) Cache Me If You Can: Capacitated Selfish Replication Games in Networks Theory of Computing Systems \/ Mathematical Systems Theory. 64: 272-310 |
| Subburaman R, Kanoulas D, Muratore L, et al. (2019) Human inspired fall prediction method for humanoid robots Robotics and Autonomous Systems. 121: 103257 |
| Kanoulas D, Tsagarakis NG, Vona M. (2019) Curved patch mapping and tracking for irregular terrain modeling: Application to bipedal robot foot placement Robotics and Autonomous Systems. 119: 13-30 |
| Kanoulas D, Lee J, Caldwell DG, et al. (2018) Center-of-Mass-Based Grasp Pose Adaptation Using 3D Range and Force/Torque Sensing International Journal of Humanoid Robotics. 15: 1850013 |
| Negrello F, Settimi A, Caporale D, et al. (2018) Humanoids at Work: The WALK-MAN Robot in a Postearthquake Scenario Ieee Robotics & Automation Magazine. 25: 8-22 |