OpenClaw & reCamera Gimbal - SenseCraft_Rick - CodeCraft Hub

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wiki: Use OpenClaw to control the reCamera Gimbal | Seeed Studio Wiki Purchase link : Open-Source 360° AI Control - reCamera Gimbal 2002w & Optional Accessories for YOLO at the Edge 1. Project Overview This project successfully shattered the barrier between virtual large models and the physical world by deeply integrating the OpenClaw Agent framework with the reCamera Gimbal edge AI camera from Seeed Studio. Relying on the powerful RISC-V architecture of reCamera, the built-in low-code environment of Node-RED, and 1 TOPS of edge computing power, we have developed a dedicated underlying interaction Skill for OpenClaw. Now, the large model is no longer a "brain in a jar" that can only type on the screen. It has a "neck" that can actively rotate 360°, "eyes" (image capture + VLM analysis) that can see the physical world, "hands" (LED control) that can change the environment, and "ears and mouth" (microphone and speaker) for bidirectional interaction. 2. Core positioning "Sentinel and commander of the physical world": it is not a passive sensor, but an Agentic Hardware (intelligent agent hardware) with autonomous decision-making and environmental intervention capabilities. "Active perception" node: Compared with other single-point input/output hardware, reCamera, combined with OpenClaw, realizes the complete embodied intelligence closed-loop of "observation -> thinking -> physical movement -> verification -> execution". 3. Core functions (1) Dynamic physical cruise Through seamless HTTP API calls, the agent can independently control the dual brushless motors (Yaw 1-345°, Pitch 1-175°) to achieve autonomous scanning and target search in a wide range of physical space. (2) Multimodal visual cognition By integrating on-device computing power with cloud-based large models, the agent can capture real-time images, accurately identify people, object details, and environmental conditions using VLM, and even "talk about pictures." (3)Physical environment intervention The agent is given the ability to directly penetrate the underlying Linux to modify hardware registers, enabling the autonomous switching of intelligent LED lighting for dark light compensation or target alarms. (4)End-side hearing and phonation Through SSH automation script integration, it supports Agent to control the microphone to record the live environment sound or play the voice/alarm through the speaker.

wiki: Use OpenClaw to control the reCamera Gimbal | Seeed Studio Wiki Purchase link : Open-Source 360° AI Control - reCamera Gimbal 2002w & Optional Accessories for YOLO at the Edge 1. Project Overview This project successfully shattered the barrier between virtual large models and the physical world by deeply integrating the OpenClaw Agent framework with the reCamera Gimbal edge AI camera from Seeed Studio. Relying on the powerful RISC-V architecture of reCamera, the built-in low-code environment of Node-RED, and 1 TOPS of edge computing power, we have developed a dedicated underlying interaction Skill for OpenClaw. Now, the large model is no longer a "brain in a jar" that can only type on the screen. It has a "neck" that can actively rotate 360°, "eyes" (image capture + VLM analysis) that can see the physical world, "hands" (LED control) that can change the environment, and "ears and mouth" (microphone and speaker) for bidirectional interaction. 2. Core positioning "Sentinel and commander of the physical world": it is not a passive sensor, but an Agentic Hardware (intelligent agent hardware) with autonomous decision-making and environmental intervention capabilities. "Active perception" node: Compared with other single-point input/output hardware, reCamera, combined with OpenClaw, realizes the complete embodied intelligence closed-loop of "observation -> thinking -> physical movement -> verification -> execution". 3.