Robotics Toolbox for Python
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Updated
May 21, 2024 - Python
Robotics Toolbox for Python
A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simulated robotic pick-and-place task.
Quadcopter Simulation and Control. Dynamics generated with PyDy.
CellRank: dynamics from multi-view single-cell data
Calculation of forward and inverse kinematics, Jacobian matrices, dynamic modeling, trajectory planning and geometric calibration for robotic manipulators
Trajectory Planning and control
A trajectory generator utilizing the A-star algorithm in conjunction with a Nonlinear Model Predictive Control solver to obtain a smooth trajectory that satisfies vehicle constraints.
Tracking and Trajectory Prediction
A Two-Stage Gan architecture to generate trajectory conditioned on maps information.
Playground for motion planning and controls algorithms.
Simulation of Quadcopter/Quadrotor Exploration of Unknown Environments using Artificial Potential Field. Uses Vispy for animation
[IROS 2023] FISS+: Efficient and Focused Trajectory Generation and Refinement using Fast Iterative Search and Sampling Strategy
YouBot omnidirectional mobile manipulation simulation for pick and place applications
Autonomous drone simulation with LQR controller, trajectory planning, obstacle avoidance features in ROS2 and Python
Finding the optimal trajectory towards the goal in a finite 2D environment that is closed by obstacles.
kinodynamic motion planning and trajectory tracking for robot soccer
Omnidirectional Walking Pattern Generation for Humanoid Robot using ZMP Analytical Method
Interface Robot CODEV IMT Atlantique
The project focuses on a straightforward illustration of how to use a PyBullet physics simulation environment. The primary purpose of the project was to present a simulation of robotic structures that are part of the Industry 4.0 Cell (I4C).
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