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DTSTART;TZID=America/Los_Angeles:20260521T170000
DTEND;TZID=America/Los_Angeles:20260521T170200
DESCRIPTION:Agentic AI systems are evolving from tool‑driven workflows in
 to autonomous agents that can perceive\, react\, and operate in dynamic en
 vironments. This talk uses OpenClaw as a reference architecture to explore
  how agentic systems can move beyond single‑machine orchestration toward
  perception‑aware\, production‑ready deployments.\n\nWe begin with Ope
 nClaw’s core design—gateway‑based orchestration\, tool execution\, a
 nd local‑first workflows—and examine its limitations when scaling towa
 rd real‑time\, autonomous behavior. From there\, we introduce architectu
 ral patterns for integrating perception signals and environment feedback\,
  enabling agents to reason and act in continuously changing contexts.\n\nT
 he session then covers key system challenges\, including state management\
 , observability\, and coordination\, along with practical approaches for s
 caling these systems across distributed environments. We conclude with con
 crete architectural principles for building robust\, perception‑aware ag
 entic systems that combine infrastructure rigor\, extensible toolchains\, 
 and real‑world responsiveness.\n\nVirtual: https://events.vtools.ieee.or
 g/m/550996
LOCATION:Virtual: https://events.vtools.ieee.org/m/550996
ORGANIZER:Chhavi.jain@gmail.com
SEQUENCE:96
SUMMARY:OpenClaw Architecture: From Tool‑Orchestrated Agents to Perceptio
 n‑Aware Autonomous Systems
URL;VALUE=URI:https://events.vtools.ieee.org/m/550996
X-ALT-DESC:Description: <br /><p class="my-2 [&amp\;+p]:mt-4 [&amp\;_strong
 :has(+br)]:inline-block [&amp\;_strong:has(+br)]:pb-2">Agentic AI systems 
 are evolving from tool‑driven workflows into autonomous agents that can 
 perceive\, react\, and operate in dynamic environments. This talk uses&nbs
 p\;OpenClaw&nbsp\;as a reference architecture to explore how agentic syste
 ms can move beyond single‑machine orchestration toward&nbsp\;perception
 ‑aware\, production‑ready deployments.</p>\n<p class="my-2 [&amp\;+p]:
 mt-4 [&amp\;_strong:has(+br)]:inline-block [&amp\;_strong:has(+br)]:pb-2">
 We begin with OpenClaw&rsquo\;s core design&mdash\;gateway‑based orchest
 ration\, tool execution\, and local‑first workflows&mdash\;and examine i
 ts limitations when scaling toward real‑time\, autonomous behavior. From
  there\, we introduce architectural patterns for integrating perception si
 gnals and environment feedback\, enabling agents to reason and act in cont
 inuously changing contexts.</p>\n<p class="my-2 [&amp\;+p]:mt-4 [&amp\;_st
 rong:has(+br)]:inline-block [&amp\;_strong:has(+br)]:pb-2">The session the
 n covers key system challenges\, including state management\, observabilit
 y\, and coordination\, along with practical approaches for scaling these s
 ystems across distributed environments. We conclude with concrete architec
 tural principles for building robust\, perception‑aware agentic systems 
 that combine infrastructure rigor\, extensible toolchains\, and real‑wor
 ld responsiveness.</p>
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