Tell the Robot What You Want
Conference Context
- Date/time: 2026-07-01 · 3:45pm-4:05pm
- Track/room: AI-Native Enterprises · Leadership 1
- Speaker(s): Sandhya Subramani
- Session type/status: session · confirmed
- Track: AI-Native Enterprises
- Room: Leadership 1
- Session type: session
- Status: confirmed
Session Description
What if you could command a robot just by talking to it? This session introduces Strands Agents, an open-source framework that lets developers control physical sensors and actuators using natural language, by exposing hardware as programmable agent tools through a unified interface. The agent interprets the request, selects appropriate tools, and orchestrates execution. We explore a hybrid model where low-latency perception and actuation run locally on edge hardware, and higher-level reasoning and multi-step planning are delegated to cloud-based agents when needed. This preserves real-time responsiveness while enabling richer reasoning. A live robot demonstration anchors the session. Using the SO101 robotic arm powered by NVIDIA GR00T alongside HuggingFace LeRobot, attendees see how an instruction such as “pick up the cube” moves from conversation to perception to physical action.
Media Evidence
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Evidence Graph
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Media Signals
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Agent Reading Notes
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Transcript Status
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People
Notes
- Pending transcript synthesis when an official recording or confirmed matching video is available.
Synthesis
Synthesized Breakdown
Tell the Robot What You Want ## Conference Context - Date/time: 2026-07-01 · 3:45pm-4:05pm - Track/room: AI-Native Enterprises · Leadership 1 - Speaker(s): Sandhya Subramani - Session type/status: session · confirmed - Track: AI-Native Enterprises - Room: Leadership 1 - Session type: session - Status: confirmed ## Session Description What if you could command a robot just by talking to it? This session introduces Strands Agents, an open-source framework that lets developers control physical sensors and actuators using natural language, by exposing hardware as programmable agent tools through a unified interface. The agent interprets the request, selects appropriate tools, and orchestrates execution. We explore a hybrid model where low-latency perception and actuation run locally on edge hardware, and higher-level reasoning and multi-step planning are delegated to cloud-based agents when needed.
Speaker And Company Context
- Sandhya Subramani — Senior Developer Advocate, GenAI at Amazon Web Services.
Topics Covered
Derived Links And Source Material
Novel Concepts / Clever Methods
- No highlighted novel concept has been detected yet.
Evidence Boundary
This synthesis is based on the official schedule and linked source pages. It should be revisited when exact session recordings or transcript-backed secondary sources are available.