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Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation

Currently, training perception models in self-driving rely on collecting massive amounts of real-world data. However, data collection and labeling are expensive. Therefore, sampling data from self-driving simulators may be considered. A recent paper on arXiv.org paper seeks to find the best strategies for exploiting a driving simulator. Driving simulator. Image credit: Toyota Motorsport GmbH via Flickr, CC BY-ND 2.0 The ...

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Giving robots social skills

A new machine-learning system helps robots understand and perform certain social interactions. Robots can deliver food on a college campus and hit a hole-in-one on the golf course, but even the most sophisticated robot can’t perform basic social interactions that are critical to everyday human life. MIT researchers have now incorporated certain social interactions into a framework for robotics, enabling ...

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MuJoCo: Opening up a Physics Simulator for Robotics

The interactions with objects in our world are possible because of physical contact. Its simulation is an indispensable yet difficult task for robotics researchers. DeepMind has recently announced making the MuJoCo physics simulator freely available. Image credit: MuJoCo MuJoCo stands for Multi-Joint Dynamics with Contact. It accurately and efficiently captures the salient features of contacting objects. While other simulators sometimes ...

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Learning from Hurricane Michael

When Hurricane Michael made landfall in the Florida Panhandle on October 10, 2018, it made history. Michael’s 160-mph sustained winds helped make it the most powerful hurricane on record for the area. The Category 5 hurricane caused 74 deaths and $25.5 billion dollars of property damage. As people of the Florida coast picked up the pieces and tried to rebuild ...

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Pathdreamer: A World Model for Indoor Navigation

World models represent an agent’s knowledge about its surroundings. The agent can predict the future of a model by ‘imagining’ the consequences of proposed actions. Nonetheless, world models that generate high-dimensional visual observations have been restricted to relatively simple environments. An example of a robotic platform that could be used for the indoor navigation. Image credit: Neurotechnology A recent paper ...

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