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| Riga 20: | Riga 20: | ||
[[SafeRL | Read more]] | [[SafeRL | Read more]] | ||
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| + | ===Point2Depth: Radar Point Cloud to Depth Image=== | ||
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| + | [[File:point2depth.png|500px]] | ||
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| + | In this work we designed a contrastive learning-based technique to translate mmWave radar point clouds to depth images with Point2Depth. | ||
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| + | [[Point2Depth | Read more]] | ||
Autonomy and Perception are two key aspects of modern robotics. Our work spans both of these areas. In particular, we employ vision and radar technologies and apply them to the development of autonomous robots. Regarding autonomy, we use both classical and modern control methods, as well as reinforcement learning.
Improve RL sample efficiency with two new tools: Episodic Noise and Difficulty Manager.
Investigation on Safe RL algorithm performance on a realistic industrial robot (a Driveable Vertical Mast Lift).
In this work we designed a contrastive learning-based technique to translate mmWave radar point clouds to depth images with Point2Depth.
Autonomy and Perception are two key aspects of modern robotics. Our work spans both of these areas. In particular, we employ vision and radar technologies and apply them to the development of autonomous robots. Regarding autonomy, we use both classical and modern control methods, as well as reinforcement learning.
Improve RL sample efficiency with two new tools: Episodic Noise and Difficulty Manager.
Investigation on Safe RL algorithm performance on a realistic industrial robot (a Driveable Vertical Mast Lift).