Using Vector Mapping and Inverse Kinematics for Motion Retargeting

Author(s):  
Shurong Ning ◽  
Linfang Wang ◽  
Linjie Miao ◽  
Chaoen Xiao
Author(s):  
AKANKSHA ◽  
Z. HUANG ◽  
B. PRABHAKARAN ◽  
C. R. RUIZ

We consider a repository of animation models and motions that can be reused to generate new animation sequences. For instance, a user can retrieve an animation of a dog kicking its leg (in air) and manipulate the result to generate a new animation where the dog is kicking a ball. In this particular example, inverse kinematics technique can be used to retarget the kicking motion of a dog to a ball. This approach of reusing models and motions to generate new animation sequences can be facilitated by operations such as querying of animation databases for required models and motions, and manipulation of the query results to meet new constraints. However, manipulation operations such as motion retargeting are quite complex in nature. Hence, there is a need for visualizing the queries on animation databases as well as the manipulation operations on the query results. In this paper, we propose a visually interactive method for reusing motions and models, by adjusting the query results from animation databases for new situations while at the same time, keeping the desired properties of the original models and motions. Here, a user first queries for animation objects, i.e., geometric models and motions. Then, the user interactively makes new animations by visually manipulating the query results. Depending on the orders in which the GUIs (Graphical User Interfaces) are invoked and the parameters are changed, the system automatically generates a sequence of operations, a list of SQL-like syntax commands, and applies it to the query results of motions and models. With the help of visualization tools, the user can view the changes before accepting them.


2000 ◽  
Vol 19 (3) ◽  
pp. 11-19 ◽  
Author(s):  
Jean-Sébastien Monzani ◽  
Paolo Baerlocher ◽  
Ronan Boulic ◽  
Daniel Thalmann

2018 ◽  
Vol 51 (22) ◽  
pp. 121-125 ◽  
Author(s):  
Mathias Hauan Arbo ◽  
Jan Tommy Gravdahl

Author(s):  
Stefano Dalla Gasperina ◽  
Keya Ghonasgi ◽  
Ana C. de Oliveira ◽  
Marta Gandolla ◽  
Alessandra Pedrocchi ◽  
...  

2021 ◽  
Vol 11 (6) ◽  
pp. 2558
Author(s):  
Mario Troise ◽  
Matteo Gaidano ◽  
Pierpaolo Palmieri ◽  
Stefano Mauro

The rising interest in soft robotics, combined to the increasing applications in the space industry, leads to the development of novel lightweight and deployable robotic systems, that could be easily contained in a relatively small package to be deployed when required. The main challenges for soft robotic systems are the low force exertion and the control complexity. In this manuscript, a soft manipulator concept, having inflatable links, is introduced to face these issues. A prototype of the inflatable link is manufactured and statically characterized using a pseudo-rigid body model on varying inflation pressure. Moreover, the full robot model and algorithms for the load and pose estimation are presented. Finally, a control strategy, using inverse kinematics and an elastostatic approach, is developed. Experimental results provide input data for the control algorithm, and its validity domain is discussed on the basis of a simulation model. This preliminary analysis puts the basis of future advancements in building the robot prototype and developing dynamic models and robust control.


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