Measuring motion significance and motion complexity

2017 ◽  
Vol 388-389 ◽  
pp. 84-98 ◽  
Author(s):  
Il Hong Suh ◽  
Sang Hyoung Lee ◽  
Nam Jun Cho ◽  
Woo Young Kwon
Keyword(s):  
Motion Complexity

scholarly journals Feedback Linearization of Inertially Actuated Jumping Robots

Actuators ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 114
Author(s):  
Adam Cox ◽  
Pouria Razzaghi ◽  
Yildirim Hurmuzlu
Keyword(s):  
Feedback Linearization ◽  
Experimental Results ◽  
Family Tree ◽  
Ground Contact ◽  
Jump Height ◽  
3 Dimensional ◽  
Hybrid Nature ◽  
Design Paradigm ◽  
Motion Complexity ◽  
Research Studies

Inertially Actuated Jumping Robots (IAJR) provide a promising new means of locomotion. The difficulty of IAJR is found in the hybrid nature of the ground contact/flying dynamics. Recent research studies in our Systems Lab have provided a family tree of inertially actuated locomotion systems. The proposed Tapping Robot is the most prompt member of this tree. In this paper, a feedback linearization controller is introduced to provide controllability given the 3-dimensional motion complexity. The research objective is to create a general controller that can regulate the locomotion of Inertially Actuated Jumping Robots. The expected results can specify a desired speed and/or jump height, and the controller ensures the desired values are achieved. The controller can achieve the greatest response for the Basketball Robot at a maximum jump height of 0.25 m, which is greater than the former performance with approximately 0.18 m. The design paradigm used on the Basketball Robot was extended to the Tapping Robot. The Tapping Robot achieved a stable average forward velocity of 0.0773 m/s in simulation and 0.157 m/s in experimental results, which is faster than the forward velocity of former robot, Pony III, with 0.045 m/s.

scholarly journals Cooperation in sound and motion: Complexity matching in collaborative interaction

2021 ◽  
Author(s):  
Drew Abney ◽  
Alexandra Paxton ◽  
Rick Dale ◽  
Chris Kello
Keyword(s):  
Movement Patterns ◽  
Collaborative Interaction ◽  
Sound Patterns ◽  
Shed Light ◽  
Motion Complexity

Complex behaviors are layered with processes across timescales that must be coordinated with each other to accomplish cooperative goals. Complexity matching is the coordination of nested layers of behaviors across individuals. We hypothesize that complexity matching extends across individuals and their respective layers of processes when cooperating in joint tasks. We measured coordination in a joint tower building task through the layers of sound and movement patterns produced by partners and found that partners built higher towers when their sound patterns fell into more similar relations with each other across timescales, as measured by complexity matching. Our findings shed light on the function of complexity matching and lead to new hypotheses about multiscale coordination and communication. We discuss how complexity matching encompasses flexible and complementary dynamics between partners that support complex acts of human coordination.

Analytical Conditions for Motion Complexity of a 2-DOF Friction-Induced Oscillator Moving on Two Oscillators

2009 ◽  
Author(s):  
Albert C. J. Luo ◽  
Yang Wang
Keyword(s):  
Dry Friction ◽  
Physical Problem ◽  
Points Of View ◽  
The Absolute ◽  
Motion Complexity

In this paper, the analytical conditions for stick and nonstick motions are discussed in 2-DOF friction induced oscillator moving on two oscillators. From physical points of view, the physical problem is stated. In order to develop the analytical conditions for stick and non-stick motion, the absolute and relative descriptions are given for a better understanding of the complex motions in such a 2-DOF oscillator interacting with two individual oscillators through dry friction. The analytical conditions are sketched intuitively.

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