Hi there, time for an #introduction!

I am Werner Kroneman, 3rd year PhD student at University College Roosevelt, in Middelburg, the Netherlands!

I study robotic motion motion planning, specifically multi-goal planning in UAVs in orchard environments.

Looking forward to making some connections and learn about what’s all going on in the world of robotics!

#introduction #robotics #motionplanning #phd #academia #netherlands #uav #drone #ompl #moveit #ros

First time I encounter #stablediffusion used to perform #motionplanning: https://arxiv.org/pdf/2211.04604.pdf
They also translate natural language instructions #nlp into a set of goals (final poses of the end effector).
Nice #ai work.

Autonomous #robotics are being studied for in- #space assembly missions: https://www.frontiersin.org/articles/10.3389/frobt.2022.995813/full?utm_source=fweb&utm_medium=nblog&utm_campaign=ba-sci-frobt-DesignEngineering-Walking-Robotic-Manipulator-for-In-Space-Assembly-Missions
There is a bit of #ai #planning #motionplanning is involved, and visual servoing seems implied, but it is above all thorough #engineering.

#PDDL #ai applied for #motionplanning of several #robots is shown here:
https://www.researchgate.net/profile/Antony-Thomas-3/publication/363740023_A_Framework_for_Multi-Robot_Task_and_Motion_Planning/links/632c35ee70cc936cd329a826/A-Framework-for-Multi-Robot-Task-and-Motion-Planning.pdf
It can be used for coarser-grained motion planning in semantic maps. In practice a finer motion planner would be needed.

That's the way I'd go, because PDDL also supports logical reasoning.