Closing the latency gap: Why physical AI requires edge-first architectures
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Madhu Gaganam, the founder and CEO of Cogniedge.ai, emphasized the necessity for the robotics industry to evolve beyond traditional safety measures such as cages and reduced speeds in response to the growing demand for collaborative robots, or cobots. In a recent statement, Gaganam highlighted that the shift towards true cobots requires innovative approaches, particularly the implementation of edge-first architectures to effectively close the latency gap in physical AI applications. This transition is crucial for enhancing the performance and safety of robots working alongside humans. The insights were shared in a piece featured on The Robot Report, underscoring the importance of adapting technology to meet the changing needs of the industry.
Original report
Closing the latency gap: Why physical AI requires edge-first architectures
RoboticsBusinessReview.com · Madhu GaganamThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
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