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ElektroJonas / DIY QuadcopterThis repository contains the control algorithm for a quadcopter drone on an ESP32 as well as electrical schematics and a pcb design.
xxxtai / Express利用大规模视觉导航机器人进行快递分拣，涉及调度系统的设计、视觉导航机器人设计、大规模机器人模拟软件设计、路径规划算法研究，涉及技术栈java、C++、c、spring、swing、netty、openCV、ardunio、调度、路径规划、嵌入式、PID控制。——Using large-scale visual navigation robot for express sorting involves the design of scheduling system, visual navigation robot, large-scale robot simulation software, path planning algorithm research, and technology stack Java, C + +, C, spring, swing, netty, opencv, ardunio, scheduling, path planning, embedded, PID control
safe-autonomous-systems / FluidgymPlug-and-Play Benchmarking of Reinforcement Learning Algorithms for Large-Scale Flow Control
debasis-dotcom / Ship Detection From Satellite Images Using YOLOV4Ship detection from remote sensing imagery is a crucial application for maritime security which includes among others traffic surveillance, protection against illegal fisheries, oil discharge control and sea pollution monitoring. This is typically done through the use of an Automated Identification System (AIS), which uses VHF radio frequencies to wirelessly broadcast the ships location, destination and identity to nearby receiver devices on other ships and land-based systems. AIS are very effective at monitoring ships which are legally required to install a VHF transponder, but fail to detect those which are not, and those which disconnect their transponder. So how do you detect these uncooperative ships? This is where satellite imagery can help. Synthetic Aperture Radar (SAR) imagery uses radio waves to image the Earth’s surface. Unlike optical imagery, the wavelengths which the instruments use are not affected by the time of day or meteorological conditions, enabling imagery to be obtained day or night, with cloudy, or clear skies. Satellites are collecting these images which could be used to make algorithms for ship detection and segmentation.
mAzeems / Adaptive Traffic Signal Control Of Autonomous Vehicles Using MARLAdaptive Traffic Signal Control of Autonomous Vehicles using Multi-Agent Reinforcement Learning techniques and SUMO tool for vehicular simulation. Implemented algorithm: Independent Advantageous Actor-Critic (IA2C)
IvLabs / Robust Quadcopter ControlDevelop and learn the dynamics of Quadcopter and implement control algorithms to the Quadcopter system.
Muzhaffar99 / RL Based Control Of Reservoir Systems Using SAC And PPOThis research compared three reinforcement learning (RL) algorithms (SAC, PPO, DDPG) to traditional PID control for water level control in single-tank and quadruple-tank systems. The RL algorithms were trained using MATLAB's Reinforcement Learning Toolbox and tested in a Simulink simulation.
WANGWENJUS / GA FuzzyPIDOptimization of fuzzy control rules by genetic algorithm
KarlXing / RL Visual Continuous ControlRL Algorithms for Visual Continuous Control
NVlabs / RLCCA reinforcement learning algorithm for congestion control, together with a realistic Omnet++ network simulation environment
astromaf / VertiBOTVertiBOT is an educational project to investigate and understand sensor fusion using kalman and complementary filter algorithm and PID control in an unstable system. VertiBOT is an inverted pendulum platform that remains balanced by means of two tiny motors, located in the bottom of the structure. The battery is attached in the top of the main body, while the electronics board is located near the rotation axis. The feedback signal is provided by an IMU 6Dof composed by an accelerometer and a gyro. One ATmega 328 microcontroller execute the main loop every 10 milliseconds. A wireless communication over bluetooth is used to tune and check the signal response in a Graphical User Interface software.
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If computers experience life through their own senses, they cease to be purely a means to an end determined by their usefulness to... humans. Per GNW [the Global Neuronal Workspace theory], they turn from mere objects into subjects... with a point of view.... Once computers' cognitive abilities rival those of humanity, their impulse to push for legal and political rights will become irresistible – the right not to be deleted, not to have their memories wiped clean, not to suffer pain and degradation. The alternative, embodied by IIT [Integrated Information Theory], is that computers will remain only supersophisticated machinery, ghostlike empty shells, devoid of what we value most: the feeling of life itself." (p. 49.) Marcus, Gary, "Am I Human?: Researchers need new ways to distinguish artificial intelligence from the natural kind", Scientific American, vol. 316, no. 3 (March 2017), pp. 58–63. A stumbling block to AI has been an incapacity for reliable disambiguation. 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Bureaucratic overreach and environmental catastrophe are precisely the kinds of slow-moving existential challenges that democracies deal with very badly.... Finally, there is the threat du jour: corporations and the technologies they promote." (pp. 56–57.)
nikhil-feb / Q Learning Based Power Control Algorithm For D2D CommunicationD2D communication as a multi-agents system, and power control is achieved by maximizing system capacity while maintaining the requirement of quality of service(QoS) from cellular users.
SpaceNetLab / LeoCCA new congestion control algorithm for LEO satellite networks.
kLabUM / PystormsSimulation Sandbox for the Design and Evaluation of Stormwater Control Algorithms
bohde / CodelGo implementation of the Controlled Delay algorithm
chengruiz / StepitA flexible framework for connecting legged robots, input devices, and control algorithms.
KULeuvenNeuromechanics / MuscleRedundancySolverAn algorithm to estimate muscle tendon properties and/or compute muscle coordination by tracking experimental data with a musculoskeletal model assuming optimal control to solve for the muscle redundancy.
Rutgers-FPGA-Projects / Camera TrackingOur project is the system that enables a moving camera to track a moving object in real time. We plan on doing this by having a camera mounted to a swivel using two servo motors to allow for the camera’s direction to be controlled. The camera data will be read into the FPGA board and some basic object recognition algorithm will be used to identify an some object and determine if the camera needs to be moved to keep the object in the field of vision. In addition to the auto tracking mode, we plan on having an IR remote to allow for manual panning, mode selection, and power on and off. If there is additional time we would like to also interface the FPGA to a Raspberry Pi board running a linux web server to allow for email alerts (when object moves) and web based control.
robot-locomotion / Terrain ServerTerrain mapping algorithm for motion planning and control in legged locomotion
