Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
-robot interaction and autonomous task execution. The successful candidate will play a pivotal role in enhancing NTU’s global reputation for excellence in robotics and AI. Key Responsibilities: Publish
-
dedicated to soft robotics and advanced robotic systems within the DEXTER team at LIRMM in Montpellier, France. He or she will actively contribute to the design, fabrication, evaluation, and optimization
-
from This Employer https://main.hercjobs.org/jobs/22174191/assistant-professor-8211-autonomous-robotics-in-agricultural-systems Return to Search Results
-
. ------------------------------------------------------------------------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------------------------------------...
-
of robotics, artificial intelligence, and control. The goal of this project is to develop intelligent robotic systems capable of autonomous operation in extreme and hazardous environments, such as fusion energy
-
- Mobile or maritime robotics, automation, or autonomous systems. - Dynamic modeling and physical simulation. - Trajectory planning, navigation, or robot control. - Interest in multi-agent systems and human
-
learned behavioral models during real-time autonomous Human-Robot interactions, such as RoboCup@Home competition • posteriori validation of socio-communicative profiles by post-hoc analysis of the pilot
-
for complex robotic systems (e.g., humanoids) that interact with complex environments. The activities include: - Design of algorithms for multi-limb robots - Design of a simulation environment to validate robot
-
, no. 5, pp. 3636–3647, 2022. [8] S. Mohammed, A. Same, L. Oukhellou, K. Kong, W. Huo, Y. Amirat, "Recognition of Gait Cycle Phases Using Wearable Sensors", Robotics and Autonomous Systems, vol. 75, pp. 50
-
preprint arXiv:2507.10672. [12] Brenna D. Argall, Sonia Chernova, Manuela Veloso, and Brett Browning. “A survey of robot learning from demonstration”. In: Robotics and Autonomous Systems 57.5 (2009), pp. 469