Merge pull request #96 from lynx1902/master

added taut cable UAV control in dynamics_controls

dynamics_controls/README.md

@@ -2,6 +2,7 @@
 
 | Papers | Notes | Author | Summary |
 |:------:|:-----:|:------:|:-------:|
+| [Taut Cable Control of a Tethered UAV](https://folk.ntnu.no/skoge/prost/proceedings/ifac2014/media/files/2581.pdf) | [HackMD](https://hackmd.io/@tethered-aerial-vehicle/SkvWQgfVc) | [Pushkar Dave](https://github.com/lynx1902) | This paper focuses on the design of a stabilizing control law for an aerial vehicle which is physically connected to a ground station by means of a tether cable. |
 | [Human-State-Aware Controller for a Tethered Aerial Robot Guiding a Human by Physical Interaction](https://ieeexplore.ieee.org/iel7/7083369/9647862/09684670.pdf) | [Google Drive](https://drive.google.com/file/d/1qifTFWh-TBxmnJQ9WuqUNUoYEsID3mZh/view?usp=sharing) | [Prajyot Jadhav](https://github.com/Arcane-01) | This paper proposes a human-state-aware controller that includes a human's velocity feedback for a tethered aerial robot to guide blind humans. |
 | [Gait and Trajectory Optimization for Legged Systems Through Phase-Based End-Effector Parameterization](https://www.researchgate.net/publication/322887667_Gait_and_Trajectory_Optimization_for_Legged_Systems_Through_Phase-Based_End-Effector_Parameterization) | [Google Drive](https://drive.google.com/file/d/1UlShnRpJuN-L8Ucpn-yDmlN9Xsj4qDB1/view?usp=sharing) | [Aditya Shirwatkar](https://github.com/aditya-shirwatkar) | This paper presents a single trajectory optimization formulation for legged locomotion that automatically determines the gait sequence, step timings, footholds, swing-leg motions, and 6D body motion over nonflat terrain, without any additional modules or any handmade heuristics|
 | [Automatic Snake Gait Generation Using Model Predictive Control](https://arxiv.org/abs/1909.11204) | [Google Drive](https://drive.google.com/file/d/1sJN2Q16ls0ROZqS76qcz3wMYFTGayL6L/view?usp=sharing) | [Aditya Shirwatkar](https://github.com/aditya-shirwatkar) | This paper proposes a method for generating undulatory gaits for snake robots using a Model Predictive Control approach to automatically generate effective locomotion gaits via trajectory optimization. Furthermore, the proposed method can also produce more complex or irregular gaits, e.g. for obstacle avoidance or executing sharp turns |