Unity Developer for Parcel Delivery AI (5-Day Turnaround)
Budget: $30 – $250 USD
I need a Unity developer to create a basic parcel delivery simulation where a lorry autonomously navigates a 3D environment using A pathfinding*.
Core Requirements:
? Pathfinding & Navigation:
The lorry must:
Start at a depot, find the best route, deliver parcels, and return.
Use *A pathfinding (manually implemented, no Unity NavMesh)**.
Navigate using a waypoint graph (at least 10 nodes, logical connections).
Allow users to set start & goal locations (up to 5 goals) via UI or Unity Inspector.
? Virtual Environment:
3D city or industrial setting with roads, delivery points, and obstacles.
Include relevant objects like drop-off zones, traffic signals, and other vehicles.
? Performance Tracking:
Measure total distance traveled and task time using a timer.
Display results in UI or Unity console.
? Video Demonstration:
120-second screen recording showing the lorry’s full journey.
Use OBS or similar (video must not be zipped).
? Short Report (500 Words)
Explain how reinforcement learning applies to route-finding.
Must include at least 2 references.
Bonus Features (Higher Pay for These!)
? Dynamic environment: Lorry reacts to traffic lights, other vehicles, and obstacles.
? Advanced pathfinding: A* considers time efficiency, roadblocks, or multiple start locations.
? More complex delivery tasks: Lorry can deliver to multiple locations before returning to depot.
Submission Requirements (Due in 5 Days)
✅ Unity project (.zip)
✅ Screen recording of the simulation (120 seconds, not zipped)
✅ Written report (.docx)
? Competitive pay for fast, high-quality work. If you're experienced with Unity & C# AI pathfinding, apply now! ?
Core Requirements:
? Pathfinding & Navigation:
The lorry must:
Start at a depot, find the best route, deliver parcels, and return.
Use *A pathfinding (manually implemented, no Unity NavMesh)**.
Navigate using a waypoint graph (at least 10 nodes, logical connections).
Allow users to set start & goal locations (up to 5 goals) via UI or Unity Inspector.
? Virtual Environment:
3D city or industrial setting with roads, delivery points, and obstacles.
Include relevant objects like drop-off zones, traffic signals, and other vehicles.
? Performance Tracking:
Measure total distance traveled and task time using a timer.
Display results in UI or Unity console.
? Video Demonstration:
120-second screen recording showing the lorry’s full journey.
Use OBS or similar (video must not be zipped).
? Short Report (500 Words)
Explain how reinforcement learning applies to route-finding.
Must include at least 2 references.
Bonus Features (Higher Pay for These!)
? Dynamic environment: Lorry reacts to traffic lights, other vehicles, and obstacles.
? Advanced pathfinding: A* considers time efficiency, roadblocks, or multiple start locations.
? More complex delivery tasks: Lorry can deliver to multiple locations before returning to depot.
Submission Requirements (Due in 5 Days)
✅ Unity project (.zip)
✅ Screen recording of the simulation (120 seconds, not zipped)
✅ Written report (.docx)
? Competitive pay for fast, high-quality work. If you're experienced with Unity & C# AI pathfinding, apply now! ?