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modeling behaviour game theoric design fast to compute Geometric Voronoi-Based Coverage Voronoi-Based Cooperation Interactive Methods Probabilistic Risk Metrics SVO in autonous Driving Safety Net : Risk Level Sets - input : position, estimates, velocity Assumptions : other agents are self preserving, continue moving in current direction Output Cost Adaptive Weights Voronio partition vs weighted ..

Versatile Robotics Dexterous legged and flying robots for subterraean autonomy explorer and carrier beacon, led, rs BPEARL. Realsense D435, Resilient Aerial Robotic Embodiment LED FLIR OUSTER ALPHASENSE CORE - DARPA collision이 안보이면 어떻게해? mean pose and map Resilient learning based navigation cerberus prize -> Locomotion challenges throughout, Artifacts in the recontructed map for traversability a..

Silkwarm Bee Dog Ant - Cooperative foraging Robots with noses why...? - Night - Lighting condition. - Sense - chemically interactive. 1. Territory marking and avoiding 2. Search and Rescue Urban disaster, Wilderness search 3. Chemical Plumes Plume movement ~~ Odur dispersion sensitive, selective, fast response (Gas sensor) Fast -> Sampling -> Sensor -> Data Analysis with feedback and adaptation ..

VcXsrV를 설치하자 근데 이건 윈도우에서 실행이 안되서 터미널에서 powershell에서 실행문장을 쳐야한다. 나의 경우에는 다음과 같았다. & '.\Program Files\VcXsrv\vcxsrv.exe' -ac -multiwindow 하지만 그게 싫다면! txt 파일을 만들어서 그걸 txt대신에 bat으로 저장한다. 그 안에 들어가는 내용은 위에 있는 거에서 앞을 지웠다 넣었다 \ 를 넣었다 뺐다 하다가 나중에는 막 vcxsrv도 없에고 하더라. 내가 한게 아니라서 자세히는 모르겠지만, 어쨌든 저 VcXsrV를 설치하고 다른 블로그 글을 참고하면 된다. ㅎㅎㅎ Tip 만약 RviZ가 실행됬는데 윈도우에서 안보인다면? window +

system with multi robot Why using MRS? - To perform solution with singularity. - Space Distribution -> many agents can be in many places at the same time. - Time Distribution -> many agents can do many, different subtasks at the same time. - Divide and Conquer - Cost, Reliability, and Robustness -> agent can be a team Simpler than a single robot. Multi-Robot System Set of Robots - Same Environme..

1. decentralized task allocation in multi-robot exploration 2. Object detection and 3D detection 은 CNN으로 하고 3D position을 도출해낸다. 3D position estimation은 3D lidar(point cloud) 랑 3D mapping algorithm(octomap) 으로 이뤄진다. 이 후 3D positions of detections으로 artefact localization을 하고 이는 operator에게 위치를 알려주고, representative image와 class를 알려주게 된다. 3. Aggregating multiple hypotheses - filtration 4. communicati..