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Hyperion: A Novel, Modular, Distributed, High-Performance Optimization Framework Targeting both Discrete and Continuous-Time SLAM Applications

[ad_1] In robotics, understanding the position and movement of a sensor suite within its environment is crucial. Traditional methods, called Simultaneous Localization and Mapping (SLAM), often face challenges with unsynchronized sensor data and require complex computations. These methods must estimate the position at…

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This AI Paper Proposes a Pipeline for Improving Imitation Learning Performance with a Small Human Demonstration Budget

[ad_1] The practical application of robotic technology in automatic assembly processes holds immense value. However, traditional robotic systems have struggled to adapt to the demands of production environments characterized by high-mix, low-volume manufacturing. Robotic learning presents a potential solution to this challenge by…

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