Research output per year
Research output per year
Personal profile
Education/Academic qualification
Master of Science (Technology), Institut National des Sciences Appliquees Toulouse
Award Date: 22 Sept 2017
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Dive into the research topics where Alexandre Angleraud is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Robotic grasping in agile production
Mehman Sefat, A., Ahmad, S., Angleraud, A., Rahtu, E. & Pieters, R., 2022, Deep Learning for Robot Perception and Cognition. Iosifidis, A. & Tefas, A. (eds.). Academic Press, p. 407-433 27 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review
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SingleDemoGrasp: Learning to Grasp From a Single Image Demonstration
Sefat, A. M., Angleraud, A., Rahtu, E. & Pieters, R., 2022, 2022 IEEE 18th International Conference on Automation Science and Engineering, CASE 2022. IEEE, p. 390-396 7 p. (IEEE International Conference on Automation Science and Engineering; vol. 2022-August).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile1 Downloads (Pure) -
Balancing Exploration and Exploitation: A Neurally Inspired Mechanism to Learn Sensorimotor Contingencies
Houbre, Q., Angleraud, A. & Pieters, R., 2021, Human-Friendly Robotics 2020: 13th International Workshop. Saveriano, M., Renaudo, E., Rodríguez-Sánchez, A. & Piater, J. (eds.). Springer, p. 59-73 15 p. (Springer Proceedings in Advanced Robotics; vol. 18).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile1 Downloads (Pure) -
Coordinating Shared Tasks in Human-Robot Collaboration by Commands
Angleraud, A., Mehman Sefat, A., Netzev, M. & Pieters, R., 19 Oct 2021, In: Frontiers in Robotics and AI. 8, 13 p., 734548.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile8 Downloads (Pure) -
Monolithic vs. hybrid controller for multi-objective Sim-to-Real learning
Dag, A., Angleraud, A., Yang, W., Strokina, N., Pieters, R. S., Lanz, M. & Kämäräinen, J-K., 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, p. 4576-4582 7 p. ( Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile