@@ -22,7 +22,8 @@ RCFS is a collection of source codes to study robotics through simple 2D example
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@@ -22,7 +22,8 @@ RCFS is a collection of source codes to study robotics through simple 2D example
| LQT_recursive_LS_multiAgents | LQT applied to a multi-agent system with recursive formulation based on least squares and augmented state, by using a precision matrix with nonzero offdiagonal elements to find a controller in which the two agents coordinate their movements to find an optimal meeting point | ✅ | ✅ | | |
| LQT_recursive_LS_multiAgents | LQT applied to a multi-agent system with recursive formulation based on least squares and augmented state, by using a precision matrix with nonzero offdiagonal elements to find a controller in which the two agents coordinate their movements to find an optimal meeting point | ✅ | ✅ | | |
| LQT_CP | LQT with control primitives applied to a viapoint task (batch formulation) | ✅ | ✅ | | |
| LQT_CP | LQT with control primitives applied to a viapoint task (batch formulation) | ✅ | ✅ | | |
| LQT_CP_DMP | LQT with control primitives applied to trajectory tracking with a formulation similar to dynamical movement primitives (DMP), by using the least squares formulation of recursive LQR on an augmented state space | ✅ | ✅ | | |
| LQT_CP_DMP | LQT with control primitives applied to trajectory tracking with a formulation similar to dynamical movement primitives (DMP), by using the least squares formulation of recursive LQR on an augmented state space | ✅ | ✅ | | |
| iLQR_obstacle | Iterative linear quadratic regulator (iLQR) applied to a viapoint task with obstacles avoidance (batch formulation) | ✅ | ✅ | | |
| iLQR_distMaintenance | Iterative linear quadratic regulator (iLQR) applied to a 2D point-mass system with the objective of constantly maintaining a desired distance to an object | ✅ | | | |
| iLQR_obstacle | iLQR applied to a viapoint task with obstacles avoidance (batch formulation) | ✅ | ✅ | | |
| iLQR_obstacle_GPIS | iLQR with obstacles represented as Gaussian process implicit surfaces (GPIS) | ✅ | | ✅ | |
| iLQR_obstacle_GPIS | iLQR with obstacles represented as Gaussian process implicit surfaces (GPIS) | ✅ | | ✅ | |
| iLQR_manipulator | iLQR applied to a planar manipulator for a viapoints task (batch formulation) | ✅ | ✅ | ✅ | |
| iLQR_manipulator | iLQR applied to a planar manipulator for a viapoints task (batch formulation) | ✅ | ✅ | ✅ | |
| iLQR_manipulator_recursive | iLQR applied to a planar manipulator for a viapoints task (recursive formulation to find a controller) | ✅ | ✅ | | |
| iLQR_manipulator_recursive | iLQR applied to a planar manipulator for a viapoints task (recursive formulation to find a controller) | ✅ | ✅ | | |
