The new training method doesn't use sensors or onboard control tweaks, but a single camera that watches the robot's movements and uses visual data.

Quadruped robot parkours over gaps and walls with new agility framework A neural planner finds safe footholds, and a tracker ensures precise steps, enabling fast, stable movement across complex ...

In this paper, we introduce the semantic navigation framework for Multi-Robot Systems (MRS). In order for a robot to understand a complex environment, it is necessary for it to comprehend the ...

A context-aware "multimode agent" called LangChain served as a framework to translate the input and output of the LLM into robot movements using reinforcement training.

During September , we hosted the “Robot Framework & AI” meetup at our Finland Sogeti office. The evening was filled with insightful talks about the future of Generative AI (Gen AI), Robot Framework, ...

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In this paper, we proposed a human-centered SRRL framework consisting of three stages: safe exploration, value alignment, and human-robot collaboration. We discussed how these stages can leverage ...

The proposed control framework is validated using a lower extremity rehabilitation robot through experiments. The experimental results demonstrate that the control scheme can optimize the robotic ...