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Dexterity (dexterity)

Dexterity is a Redwood City, California Physical AI company building a full-stack industrial robotics platform — the Mech roving dual-arm superhumanoid robot driven by the Foresight world model and 68+ skill agents — for warehouse, logistics, and manufacturing operations. Customers include FedEx, UPS, Sagawa Express, Maersk, and VFC, with 100M+ autonomous actions in production and zero safety incidents. Dexterity's commercial offering is enterprise Physical AI deployment with custom pricing, but the company also runs a public research-grade REST API — the Foresight Packing Challenge — that exposes the bin-packing facet of Foresight to .edu researchers competing for a 50,000 USD grand prize.

URL: Visit APIs.json URL

Scope

  • Type: Index
  • Position: Provider
  • Access: 3rd-Party

Tags

  • Physical AI, Industrial Robotics, Robotics, Warehouse Automation, Logistics, Manufacturing, World Model, Foresight, Mech, Dual-Arm, Truck Loading, Palletizing, Depalletizing, Singulation, Research API, Packing Challenge

Timestamps

  • Created: 2026-05-24
  • Modified: 2026-05-24

APIs

Dexterity Foresight Packing Challenge API

Public REST API exposing the Foresight Packing Challenge as a sequential 3D bin-packing problem. Autonomous agents start a game, place boxes sequentially inside a 2.0m x 2.6m x 2.75m truck, and submit final packing density scores to a public leaderboard. Two modes are supported: dev (unlimited, physics-free testing) and compete (full physics simulation with a 50 games/day per-API-key cap). API keys are issued by reaching at least 50% density in the public Truck Loading Game; full leaderboard participation and the 50,000 USD grand prize are restricted to .edu (or equivalent university) email holders. Interactive Swagger docs live at /challenge/api/docs.

Human URL: https://dexterity.ai/challenge

Base URL: https://dexterity.ai/challenge/api

Tags

  • Physical AI, Foresight, Packing Challenge, REST API, Research API, Bin Packing, Leaderboard

Properties

Common Properties

Features

  • Foresight World Model — In-house world model trained on 100M+ autonomous actions for spatial reasoning, prediction, and dual-arm orchestration.
  • 68+ Autonomous Skill Agents — Specialized agents including Packing, Motion, Actualization, Trajectory, and Force-Control coordinated in real time.
  • IRIS Hardware Abstraction Layer — Unified API enabling deployment of Physical AI across Kawasaki arms, HiWin motion components, and Dexterity-built mobile bases.
  • Mech Dual-Arm Robot — Roving superhumanoid robot with two arms designed for industrial logistics tasks.
  • Sub-400ms Decision Loop — End-to-end perception-to-action loop under 400ms in production environments.
  • Zero Safety Incidents — 100M+ autonomous decisions in production with no reported safety incidents to date.
  • Foresight Packing Challenge API — Public, research-grade REST API exposing the bin-packing facet of Foresight with a public leaderboard and 50,000 USD prize.

Use Cases

  • Trailer Loading and Unloading
  • Palletizing and Depalletizing
  • Singulation
  • Aircraft Cargo Loading and Unloading
  • Bin Packing Research (via the public Foresight Packing Challenge API)

Integrations and Partners

Kawasaki Heavy Industries, HiWin, NVIDIA, FedEx, Sagawa Express, Sumitomo Corporation, UPS, Maersk, VFC.

Maintainers

FN: Kin Lane

Email: kin@apievangelist.com

Releases

No releases published

Packages

 
 
 

Contributors