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update tracking tools
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Guptajakala committed Sep 26, 2021
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Expand Up @@ -65,7 +65,8 @@ Logging and Messaging

Tracking
--------

- [BundleTrack](https://github.com/wenbowen123/BundleTrack) - 6D object pose tracking without needing any CAD models
- [se(3)-TrackNet](https://github.com/wenbowen123/iros20-6d-pose-tracking) - 6D object pose tracking trained solely on synthetic data
- [simtrack](https://github.com/karlpauwels/simtrack) - A simulation-based framework for tracking.
- [ar_track_alvar](https://github.com/sniekum/ar_track_alvar) - AR tag tracking library for ROS.
- [artoolkit5](https://github.com/artoolkit/artoolkit5) - Augmented Reality Toolkit, which has excellent AR tag tracking software.
Expand All @@ -84,7 +85,7 @@ Kinematics, Dynamics, Constrained Optimization
- [jrl-umi3218/RBDyn](https://github.com/jrl-umi3218/RBDyn) - RBDyn provides a set of classes and functions to model the dynamics of rigid body systems.
- [ceres-solver](https://github.com/ceres-solver/ceres-solver) - Solve Non-linear Least Squares problems with bounds constraints and general unconstrained optimization problems. Used in production at Google since 2010.
- [orocos_kinematics_dynamics](https://github.com/orocos/orocos_kinematics_dynamics) - Orocos Kinematics and Dynamics C++ library.
- [flexible-collsion-library](https://github.com/flexible-collision-library/fcl) - Performs three types of proximity queries on a pair of geometric models composed of triangles, integrated with ROS.
- [flexible-collsion-library](https://github.com/flexible-collision-library/fcl) - Performs three types of proximity queries on a pair of geometric models composed of triangles, integrated with ROS.
- [robot_calibration](https://github.com/mikeferguson/robot_calibration) - generic robot kinematics calibration for ROS

Calibration
Expand All @@ -100,7 +101,7 @@ Reinforcement Learning
- ["Good Robot!": Efficient Reinforcement Learning for Multi-Step Visual Tasks with Sim to Real Transfer](https://github.com/jhu-lcsr/good_robot) - A real robot completes multi-step tasks after <20k simulated actions. [Good Robot on ArXiV](https://arxiv.org/abs/1909.11730) (disclaimer: @ahundt is first author)
- [TensorForce](https://github.com/reinforceio/tensorforce) - A TensorFlow library for applied reinforcement learning
- [gqcnn](https://github.com/BerkeleyAutomation/gqcnn) - [Grasp Quality Convolutional Neural Networks (GQ-CNNs)](https://berkeleyautomation.github.io/gqcnn/info/info.html) for grasp planning using training datasets from the [Dexterity Network (Dex-Net)](https://berkeleyautomation.github.io/dex-net)
- [Guided Policy Search](https://github.com/cbfinn/gps) - Guided policy search (gps) algorithm and LQG-based trajectory optimization, meant to help others understand, reuse, and build upon existing work.
- [Guided Policy Search](https://github.com/cbfinn/gps) - Guided policy search (gps) algorithm and LQG-based trajectory optimization, meant to help others understand, reuse, and build upon existing work.

Drivers for Sensors, Devices and Arms
-------------------------------------
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