Wonder Robotics
Wonder Robotics, an Israeli start-up founded in 2018, builds WonderLand, software that lets drones land precisely and autonomously, including on unprepared sites.
It raised a 4 million US dollar seed round led by Elron Ventures in 2022. WonderLand 2.0 extends operations where GPS is unavailable. No customers are named, and no activity since 2022 has been found.
No verified deployments yet
Wonder Robotics is profiled in the companies register, but no deployment has been verified against published evidence. Records are added as evidence is reviewed and graded.
Products & Solutions
3 productsWonderLand
A self-contained airborne pod that provides autonomous precision landing capability for VTOL drones and eVTOLs.
Enables VTOL drones to operate beyond visual line of sight (BVLOS) without requiring a visual observer or pre-prepared landing infrastructure, addressing a key barrier to commercial drone services scaling at low altitude in urban environments.
- Fully onboard autonomy with no dependency on external communications or GPS
- 2D semantic algorithm for approximate landing zone selection based on altitude and contextual factors
- 3D sensor and proprietary geometric analysis to verify landing zone is clear of obstacles, slopes, and cables
- Detection of static and mobile obstacles including humans, power lines, trees, and buildings
5 more features
- Precision landing within a few centimeters
- GPS-loss contingency mode: safe hover in place without drift in strong winds until GPS is restored
- Compatible with drone charging stations and drone delivery mailboxes
- Supports autonomous contingency landings at unplanned sites with no operator involvement
- Vertical Detect and Avoid (VDAA) for BVLOS scale operations
Technical specifications (8)
- Operational altitude: up to 100 meters
- Self-contained airborne POD form factor
- 2D semantic image processing combined with 3D point cloud processing
- Convolutional neural network for object identification and distance measurement
- Deterministic algorithms for critical landing phase decisions
- Non-deterministic AI/ML algorithms for avoidance maneuvers (97% certainty threshold for obstacle classification)
- Landing accuracy: within a few centimeters
- No external communication or GPS required for operation
WonderLand 2.0
An enhanced version of WonderLand adding GPS-denied operational capability for drone and Urban Air Mobility (UAM) operations. Enables secure hovering and short-range navigation back to point of origin when GPS is lost or jammed, without relying on pre-mapped base maps or alternative navigation paths.
Extends drone BVLOS operations to environments where GPS signals are unavailable or disrupted (urban multipath, jamming), removing the requirement for predetermined emergency landing zones or a ground observer in GPS-denied scenarios.
- GPS-denied secure hovering without drift in strong winds
- Short-range navigation back to origin point after GPS loss
- Secure recovery landing at unforeseen unmapped sites without GPS
- Operations below city skyline without visual observer or alternative landing pre-planning
3 more features
- Maritime capability: autonomous landing on moving ships and oil rigs
- Vertical obstacle detection on ship decks including cables and irregular structures
- No requirement for pre-mapped base maps unlike military-grade GPS-denied navigation systems
Technical specifications (3)
- GPS-denied hover and navigation mode
- Builds on WonderLand core technology: 2D semantic image processing and 3D point cloud processing
- Operates independently of external data sources or alternative navigation paths
Generic Autonomy Suite
A broad vision-based autonomy software suite designed to provide any commercial or military-grade drone with autonomous flight capabilities shaped around operational and regulatory safety requirements.
Provides a platform-agnostic autonomy layer that removes dependency on well-trained drone pilots, GPS, and communication infrastructure, enabling any drone to meet safety requirements for commercial and defense operations.
- Platform-agnostic software layer compatible with commercial and military drones
- Vision-based autonomy capabilities including navigation, landing, and target operations
- Shaped around commercial and defense operational safety requirements
Profile data from the Aerostack companies register; deployment records from the verified register. Evidence grades: T1 first-party confirmation, T2 credible reporting. See Our approach for how records are graded.