SlashML (/ ml) Embodied Robotics Trajectory Memory
Sub-millisecond 7-DoF trajectory episode memory and kinematic safety gates for robotics.
- tools
- 4
- transport
- HTTP
- last updated
- Nov 9, 2026
Tools
4 toolsPublic tool metadata for what this MCP can expose to an agent.
locate_physical_objectRetrieve active 6-DoF location and room zone.
Retrieve active 6-DoF location and room zone.
No parameter schema in public metadata yet.
record_sensor_observationIngest detection and supersede older coordinates automatically.
Ingest detection and supersede older coordinates automatically.
No parameter schema in public metadata yet.
query_object_trajectoryReconstruct full chronological movement paths.
Reconstruct full chronological movement paths.
No parameter schema in public metadata yet.
find_objects_by_affordanceFind workspace items capable of executing an action.
Find workspace items capable of executing an action.
No parameter schema in public metadata yet.
Sponsors
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SlashML Robotics & Spatial Memory Documentation
Ultra-low-latency spatial memory substrate and dynamic belief tracking for embodied AI, mobile manipulation, and autonomous robots.
1. Executive Overview
Robotics perception and task execution face a fundamental challenge: spatial amnesia and coordinate obsolescence. When objects move in a dynamic workspace, robots must either:
- Re-scan the entire environment with expensive visual search routines (slow, high compute overhead).
- Query traditional databases that return outdated coordinates or lack sub-millisecond retrieval guarantees.
Details
- Repository
- github.com/slashml-ai/slashml-robotics
- Website
- slashml.ai/use-cases/embodied-robotics.html
- Category
- AI & LLM Tools
- Transport
- HTTP
- Registry
- MCP registry, active
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