Benchmark RadarAI BENCHMARK PROFILE
Lingjing
Lingjing is a simulation testbed for heterogeneous multi-agent embodied tasks in urban environments, with a Gym-like interface and support for natural-language missions. It includes engine-based evaluations and attribution-ready replays.
- Released
- 2026-08-08
- Readiness
- Paper only
- Primary field
- Robotics & Autonomous Systems
Why it matters
If published, it could support reproducible evaluation of multi-agent urban embodied intelligence, but without a public release path, its standalone value is unverified.
Motivation
Urban embodied intelligence requires coordination among heterogeneous agents (e.g., UAVs, ground robots, and autonomous vehicles) in dynamic cities.
Primary resources
Benchmark Radar records only publicly supported details and links back to primary sources for verification.