Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Hong Kong
- Sweden
- United Kingdom
- Portugal
- Singapore
- France
- Spain
- Netherlands
- Norway
- Canada
- United Arab Emirates
- Australia
- Belgium
- Germany
- Italy
- China
- Denmark
- Japan
- Mexico
- South Africa
- Switzerland
- Austria
- Brazil
- Croatia
- Ireland
- Lithuania
- Luxembourg
- Morocco
- New Zealand
- Saudi Arabia
- 21 more »
- « less
-
Program
-
Field
-
Future robots must perceive, predict, communicate, and decide reliably in complex, human–robot shared environments. The Mobile Robotics (https://www.aalto.fi/en/department-of-electrical-engineering
-
schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Engineer in Autonomous Drone Swarms for GPS-Denied Environments to develop and
-
and efficient navigation systems for inspection robots, enabling autonomous localization, decision-making, motion planning and safe navigation in complex, dynamic real-world environments. The Research
-
of a robotic and autonomous laboratory for accelerated materials discovery and battery research. The role will focus on assisting with the integration of automated materials synthesis, sample handling
-
to address the deployment limitations of multi-purpose robots in shared environments. Rather than a single monolithic controller, the robot is treated as a network of collaborating semi-autonomous agents (a
-
. You will contribute to a future in which we can rely on better robots, autonomous networks, and other smart systems – impacting domains such as healthcare, transportation, and other areas of our society
-
contribute to a future in which we can rely on better robots, autonomous networks, and other smart systems – impacting domains such as healthcare, transportation, and other areas of our society. These systems
-
magnetometer-based navigation tools for autonomous marine systems Base Salary $117,936 - $137,500 + 17% superannuation About the opportunity The University of Sydney's Australian Centre for Robotics (ACFR) is
-
reinforcement learning approaches for autonomous guidewire shaping and control. • Design experiments, validation strategies, and quantitative performance metrics for robotic navigation and wire-shaping systems
-
given to candidates in the areas of Power Electronics and Power Systems, Robotics and Autonomous Systems, and Digital Integrated Circuits. The ECE program (https://ece.kaust.edu.sa ) serves as the