Active Interest for Engineers
Indexed description
Here are some of the tasks that you might end up working on; generally they can be split up between focus on “classical” robotics, focus on software and integration layer, and focus on the robot learning side of things.
- Developing perception algorithms for tasks such as few shot object detection and scene recognition.
- Building out the navigation stack which includes multimodal (LiDAR, RGBD, IMU, landmark) SLAM implementations for effective navigation and path planning in structured environments with dynamic obstacles
- Writing software to orchestrate and allocate commands to robots and operators efficiently.
- Integrating our software and planning stack with existing software infrastructure systems used by our customers.
- Coordinating fleets of autonomous robots to navigate and complete tasks in a safe and optimal manner.
- Working on cutting edge teleoperation for easy control of different kinds of robot embodiments.
- Creating data collection and training pipelines for deep learning models to assist in manipulation tasks such as picking, placing, and scanning inventory items.
- Guiding and educating your team members in areas you see fit!
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