A humanoid doing an artistic work - graffiti on the wall

Jun, Youngbum; Jang, Gunhee; Cho, Baek-Kyu; Trubatch, Joel; Kim, Inhyeok; Seo, Sang-Duck; Oh, Paul

doi:10.1109/iros.2016.7759249

Cited by 13 publications

(8 citation statements)

References 16 publications

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“…There is much work in the robotics community that aims to create art using robots, such as painting and drawing [11], [12], [13], sculpture [14], graffiti [15], etc. Below we focus our discussion on robot calligraphy, most algorithms using a calligraphy brush can be categorized as either learning or trajectory optimization-based.…”

Section: Related Workmentioning

confidence: 99%

“…We can now express the original dynamics equation with an approximation, where the objective function (10) can be discretized if necessary. The original problem is thus transformed to minimizing the cost C with respect to the two coefficient vectors X, U : X = (x 0 , ..., x N ), U = (u 0 , ..., u N ) (15) representing the values of the state and controls, respectively, at the CGL points.…”

Section: A Review Of Pseudospectral Optimal Controlmentioning

confidence: 99%

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Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Novel Dynamic Brush Model

Wang,

Chen,

Deng

et al. 2020

Preprint

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Chinese calligraphy is a unique art form with great artistic value but difficult to master. In this paper, we formulate the calligraphy writing problem as a trajectory optimization problem, and propose an improved virtual brush model for simulating the real writing process. Our approach is inspired by pseudospectral optimal control in that we parameterize the actuator trajectory for each stroke as a Chebyshev polynomial. The proposed dynamic virtual brush model plays a key role in formulating the objective function to be optimized. Our approach shows excellent performance in drawing aesthetically pleasing characters, and does so much more efficiently than previous work, opening up the possibility to achieve real-time closed-loop control.

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Section: Related Workmentioning

confidence: 99%

Section: A Review Of Pseudospectral Optimal Controlmentioning

confidence: 99%

Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Novel Dynamic Brush Model

Wang,

Chen,

Deng

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…A similar approach was taken by Jun et al . [JJC*16], where a humanoid robot capable of drawing on a wall was developed. Calinon et al .…”

Section: Related Workmentioning

confidence: 99%

LinesLab: A Flexible Low‐Cost Approach for the Generation of Physical Monochrome Art

Stoppel

Brückner

2019

Computer Graphics Forum

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The desire for the physical generation of computer art has seen a significant body of research that has resulted in sophisticated robots and painting machines, together with specialized algorithms mimicking particular artistic techniques. The resulting setups are often expensive and complex, making them unavailable for recreational and hobbyist use. In recent years, however, a new class of affordable low‐cost plotters and cutting machines has reached the market. In this paper, we present a novel system for the physical generation of line and cut‐out art based on digital images, targeted at such off‐the‐shelf devices. Our approach uses a meta‐optimization process to generate results that represent the tonal content of a digital image while conforming to the physical and mechanical constraints of home‐use devices. By flexibly combining basic sets of positional and shape encodings, we are able to recreate a wide range of artistic styles. Furthermore, our system optimizes the output in terms of visual perception based on the desired viewing distance, while remaining scalable with respect to the medium size.

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“…This section concentrates on calligraphy robots, even though there are many other art forms that incorporate robotics [11], [12], [13], sculpture [14], graffiti [15], etc. Most algorithms on calligraphy robots using a brush pen can be categorized as learning-based methods or trajectory optimization-based methods.…”

Section: Related Workmentioning

confidence: 99%

Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Novel Dynamic Brush Model

Wang¹,

Chen²,

Deng³

et al. 2019

Preprint

View full text Add to dashboard Cite

Chinese calligraphy is a unique form of art that has great artistic value but is difficult to master. In this paper, we make robots write calligraphy. Learning methods could teach robots to write, but may not be able to generalize to new characters. As such, we formulate the calligraphy writing problem as a trajectory optimization problem, and propose a new virtual brush model for simulating the real dynamic writing process. Our optimization approach is taken from pseudospectral optimal control, where the proposed dynamic virtual brush model plays a key role in formulating the objective function to be optimized. We also propose a strokelevel optimization to achieve better performance compared to the character-level optimization proposed in previous work. Our methodology shows good performance in drawing aesthetically pleasing characters.

show abstract

A humanoid doing an artistic work - graffiti on the wall

Cited by 13 publications

References 16 publications

Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Novel Dynamic Brush Model

Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Novel Dynamic Brush Model

LinesLab: A Flexible Low‐Cost Approach for the Generation of Physical Monochrome Art

Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Novel Dynamic Brush Model

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