30 Nov

Multi-agent Reinforcement Learning Environments

Zida Wu

  • «
  • »

Search

Popular Tags

foray origami robots blimp SLAM vr computational design computer vision ducky slam roco edg Origami rocolib Motion Planning autonomy logics arduino edg-model simulation create; kalman filter; Robot Compiler RoCo contacts friction imu mesh tank networking mesh network esp32 wireless control pushing motors visual processing communication esp now multi-agent dynamics machine learning computer skill webapp ROCO Robotica path planning i2c cars openmv power consumption port-arrays reinforcement learning dataset test DARPA Battery motor odometry reinforcement learning; multi-agent; mean-field; dash machine vision origami semantic crawler frequency diversity controller robot gondola Consensus feedback modeling paper Foray crazyflie create; kalman filter; EM; optimization lidar propeller FORAY darpa; create; Quantum Information pcbs apriltags perception radio logic visual sensors 433mhz Kullback-Leibler Divergence network open house infrastructure icra2021 project management joystick motor configuration research proposal localization von Mises Fisher Distribution offline reinforcement learning webots exam or pushing problem control gate experiment results nodemcu refactoring object detection simulink UAV thrust IR modeling contacts conference integration test blynk swarm decentralized arnhold PCB mesh networking matlab RL balloon test multi-agent path planning altimeter 4-wheeled arduino nano distributed optimization painlessmesh vision processing Short Post edg-examples slam; paper review Integrated Demo serial monitor in-situ design python writing multirobot system signal strength quasi-static pushing tutorial nonholonomic systems system ID grant feedback-controlled IROS surp range literature review Zigbee robot compiler origami robot Bessel functions spi neural network dynamic modeling game theory multipack throughput cameras buoyancy equations contact legs trajectory optimization paper review Writing motorized boats controls Learning vision pain structured field pivoting differential power detectionrate distance shape color edg-ide Characterization tool papers surface contact peripheral device keyboard swarm control car von Mises-Fisher von Mises Fisher port-array quasi-static modeling Kalman Filter steering flytrap ML rssi multi-agent path finding reinforcement learning; multi-agent; kinematic_model 2.4 GHz 433 MHz creative Computer skill internal misc edg-refactoring 433 video ceres debug coriolis force dynamic model proposal deep learning interpolation wireless signal strength reinforcement learning; multi-agent; decentralized demo Xbee semantic segmentation current pid segmentation on multiple object and centers finding competition prelab offline Rl ensemble methods multiple blimps Bayesian networks bootstrapping model-based RL defender lab_data integrated system 3d printing Synthesizable Radio catching mechanism kalman filter barometer detection lift force buoyancy result hardware design multi-robot thrust configuration model prediction pressure distribution delta tolling firmware protobuf #activecapturingmechanism #claw marginal cost pricing state space boxboat color_segmentation tracking code slam; flowchart; ESP32 balloon actuation COVID 19 manipulation integration flapping depth estimation cad reinforcement learning; multi-agent; mean-field; game theory; 2.4ghz battery multirobot board design motor driver MIMO communications HDL sensor fusion submission point cloud latency batch learning scenic codesign presentations machine training preliminary exam multiple devices multi-object tracking instance segmentation von Mises-Fisher Distributions ros current sensor solidworks regression von Mises Distribution design tool Barycenter Multi-Agent Systems pixracer pixhawk ardupilot flight controller center of friction fly test MBRL motor distribution ZMP Python DNN ICLR ICRA ICML guassian processes probabilistic neural networks graph generators Consensus Algorithms