Embedding Autonomous Agents in Resource-Constrained Robotic Platforms
Tiny robot, smart decisions—no cloud needed
Researchers embedded an autonomous agent (written in AgentSpeak) into a palm-sized, two-wheeled robot that navigates a maze using only its onboard sensors and reasoning. No remote controller and no constant internet required.
- Fast thinking: Each decision phase took under 1 millisecond.
- Real-time results: The robot solved the maze in 59 seconds with 287 reasoning cycles.
- Low resources: High-level AI control ran smoothly on constrained hardware.
Why it matters: Bringing smart decision-making directly onto devices can make robots and IoT gadgets more responsive, reliable, and private—especially in dynamic or spotty-network environments.
Paper: Embedding Autonomous Agents in Resource-Constrained Robotic Platforms by Negar Halakou, Juan F. Gutierrez, Ye Sun, Han Jiang, Xueming Wu, Yilun Song, Andres Gomez. Link: https://arxiv.org/abs/2601.04191v1
Paper: https://arxiv.org/abs/2601.04191v1
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Robotics EmbeddedSystems EdgeAI AutonomousAgents AgentSpeak IoT AIResearch RealTime