Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
decision is correct, and performance can deteriorate when a robot encounters conditions that differ from its training data. A robot operating in the real world therefore needs more than an accurate
-
PhD Student in Robotics and Artificial Intelligence Lulea Reference number 3812-2026 Are you ready to take the next step in your academic journey? As a doctoral student with us, you will work closely
-
AI for Resilient Self-Assembling Robotic Matter: Strengths, Vulnerabilities and Defense School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr S Miyashita Application
-
supercomputer. Topics We are looking for candidates in the following two areas. Funding is in place for all three positions. Robot learning for manipulation : imitation and reinforcement learning of contact
-
), deployment to robotics applications; onboard computational hardware using the Robot Operating System), and experimental testing (on unmanned vehicle swarms). A solid competency with the standard
-
platforms. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR6074-PAOROB-018/Default.aspx Requirements Research Field Physics Education Level PhD or equivalent Languages FRENCH Level Basic
-
impact – shaping a resilient and sustainable world. We make impact. At the Division of Dynamics , we conduct cutting-edge research on structural vibrations, contact mechanics, wave propagation, and robot
-
Delft University of Technology (TU Delft) | Delft, Provincie Zuid-Holland | Netherlands | 5 days ago
robotic systems for responsible human-robot collaboration. Job description Autonomous robots working in human-centered environments must do more than react to immediate sensor input. They need to be able to
-
Learning), and Human-Robot Interaction to redefine how machines interpret human actions, anticipate intentions, and interact seamlessly with people in various settings. The successful candidate will
-
( VITA ) is looking for a postdoctoral researcher in the area of Generative AI. VITA research interests lie at the intersection of Computer Vision, Machine Learning (Deep Learning), and Human-Robot