Zhiqun RMTT
In stockZhiqun RMTT
Indoor Multi-Agent Swarm Formation Platform
From US$12,900
Ex Works Guangzhou (Incoterms 2020) · DDP to the EU on request · 5+ units −5%, 10+ −10%
Full price list & volume discounts →- Agents
- RMTT drones + Sunray-wheeltec UGVs
- Drone size
- 115 mm wheelbase / 87 g
- Positioning
- Optical motion capture
- Formation algorithm
- ORCA
- Simulation
- Gazebo
Typical delivery 1–2 weeks worldwide · full manufacturer warranty
- Model
- Zhiqun RMTT
- Availability
- In stock
- Released
- 1 Aug 2024
- Price
- From US$12,900
Sold and supported by YivaDrone — authorized distributor of Yundrone. Factory stock, genuine parts, full manufacturer warranty. Questions? Email sales@yivadrone.com· Flying indoors in the EU? No registration or licence needed
About the Zhiqun RMTT
The Zhiqun RMTT is an indoor multi-agent swarm formation platform built from two kinds of agents: compact RMTT quadcopters (based on the Robomaster TT) and Sunray-wheeltec unmanned ground vehicles. Fleets of drones and ground robots share one positioning and control framework, so formation algorithms span the air and the ground in a single experiment.
At the core of the platform is a high-precision optical motion-capture system that measures the real-time 3D pose of every agent in the room. That ground truth closes the control loop, keeping multiple aircraft and vehicles stably coordinated indoors where GPS is unavailable — the same setup used by university multi-agent research labs.
The platform ships with rich secondary-development examples and a concise swarm-control ground station. Typical teaching and research tasks include swarm formation control, path planning, target recognition and mission decision, all of which can be rehearsed in the Gazebo simulation environment before running on the real fleet.
Product highlights
Heterogeneous swarm
One fleet, two kinds of agents — RMTT quadcopters and Sunray-wheeltec ground vehicles flying and driving coordinated missions together.
Motion-capture precision
A high-accuracy optical motion-capture system delivers real-time 3D pose for every agent indoors, closing the control loop for stable multi-agent flight.
ORCA formation & avoidance
ORCA-based swarm formation with dynamic obstacle avoidance and return-to-home behaviors, ready for distributed-control research.
Gazebo simulation
Verify formation, planning and decision algorithms in the Gazebo simulation environment before committing battery cycles to real flight.
Zhiqun ground station
A concise swarm-control ground station for fleet management, mission commands and live agent status.
20+ teaching examples
Ready-made example programs cover swarm control, path planning, target recognition and mission decision — a complete course path out of the box.
Gallery
Technical specifications
| Wheelbase | 115 mm |
|---|---|
| Weight | 87 g |
| Flight time | 8 min |
| Dimensions | 98 × 92.5 × 41 mm |
| Front camera | 5 MP |
| Max speed | 1.5 m/s |
|---|---|
| Motor power | 4.23 W |
| Battery life | 6.5 h |
| Max payload | 4 kg |
| Dimensions | 250 × 226 × 134 mm |
| Formation algorithm | ORCA |
|---|---|
| Path planning | Supported |
| Obstacle avoidance | Dynamic |
| Simulation environment | Gazebo |
| Ground station | Zhiqun ground station |
| Drone control | Takeoff, land, hover, position control |
|---|---|
| UGV control | Position and speed control |
| Swarm control | Formation, obstacle avoidance, return |
| Example programs | 20+ |
| API documentation | Complete |
Typical applications
- Swarm formation experiments
- Multi-agent coordination research
- Teaching laboratories
Documents
- Documentation is being prepared.
Accessories & spare parts
Reference prices shown in CNY — contact us for bundle pricing with a platform order.
Robomaster TT drone (spare agent)
¥2,599
Single RMTT agent based on the Robomaster TT (Tello Talent) kit with a custom ROS driver — expand an existing fleet or replace a damaged airframe.
- Wheelbase
- 115 mm
- Weight
- 87 g
- Flight time
- 8 min
Request a quote — Zhiqun RMTT
Model is prefilled. Tell us your quantity and configuration (base / LiDAR / options) and we'll reply within one business day.