So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...
Abstract: Recent success in legged robot locomotion is attributed to the integration of reinforcement learning and physical simulators. However, these policies often encounter challenges when deployed ...
Abstract: Robot-mediated physical interaction between humans, or physical Human-Robot-Human Interaction (pHRHI for short) can transcend the physical constraints associated with direct human-human ...
Koheesio is a versatile framework that supports multiple implementations and works seamlessly with various data processing libraries or frameworks. This ensures that Koheesio can handle any data ...
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