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Hi,
The Minecraft AI project is a fantastic demonstration of reinforcement learning. I have a few advanced suggestions to enhance the agent's learning and adaptability:
Suggested Enhancements:
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ghost updated
3 months ago
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Good evening people and thanks for that stable planner.
everything is working fine except the dynamically avoidance of an obstacle
what i do:
Scenario 1)
*Using DWA for global planner and Eband …
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## Description
Both QuickMCL and AMCL seem to have for a long time used a formula for aggregation of the likelihood `p` that does not match the model proposed in Probabilistic Robotics (Table 6.3).…
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Probably the same random environment with some static path we use and then take metrics like time to goal, distance traversed, "smoothness" of velocities and behaviors in some metrics, closeness to ob…
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Hi @praveen-palanisamy , thanks for sharing your work, it's quite helpful to me.
I want to run this pkg on a mobile robot with a single-line laser, but it can hardly detect the dynamic obstacle (huma…
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**Is your feature request related to a problem? Please describe.**
I've noticed that sites using Cloudflare's DNS proxy show that the host is Cloudflare and therefore green. If the site was using t…
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Note: per level obstacles and design of maze will be provided later during dev phase.
- Patrolling Aliens
- Left Right or Up Down, straight range patrol
- Short range Dynamic pathfinding patrol
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**Primary Task:** Implement a spline-based planner for dynamic (on-line) local planning around obstacles, such as adversaries. Begin in simulation, validate on one of the real cars.
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Create init env of airsim