update tracking tools

Author: Guptajakala

README.md

@@ -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.
@@ -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
@@ -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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