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A Soft Body Physics Simulator with Computational Offloading to the Cloud [PDF]
Information, 2018 We describe the gamification of a soft physics simulator. We developed a game, called Jelly Dude, that allows the player to change and modify the game engine by tinkering with various physics parameters, creating custom game levels and installing scripts.
Edvinas Danevičius +4 more
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Physics-Based Simulation of Soft-Body Deformation Using RGB-D Data
Sensors, 2022 Providing real-time interaction in an immersive environment has drawn considerable attention in the virtual training fields. Physics-based simulations are suitable for such environments; however, they require the definition and adjustment of coefficients
Daeun Kang +4 more
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Bio-Inspired Optimization in Soft Robot Design: Methods, Applications, and Future Directions [PDF]
BiomimeticsSoft robots offer significant advantages in adaptability, safe interactions, and operation in unstructured environments, yet their design faces unique challenges due to infinite degrees of freedom, nonlinear material behavior, and coupled multi-physics ...
Yilun Sun, Tim C. Lueth
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3D garment fit on solid and soft digital avatars – preliminary results
Communications in Development and Assembling of Textile Products, 2022 For a holistic assessment of the interaction between the human body and tight fitted clothing, it is necessary to consider the mechanical properties of the body.
Elena Brake +2 more
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A low-cost unity-based virtual training simulator for laparoscopic partial nephrectomy using HTC Vive [PDF]
PeerJ Computer Science, 2023 Laparoscopic education and surgery assessments increase the success rates and lower the risks during actual surgeries. Hospital residents need a secure setting, and trainees require a safe and controlled environment with cost-effective resources where ...
Fareeha Rasheed +4 more
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Differentiable Implicit Soft-Body Physics
CoRR, 2021 We present a differentiable soft-body physics simulator that can be composed with neural networks as a differentiable layer. In contrast to other differentiable physics approaches that use explicit forward models to define state transitions, we focus on implicit state transitions defined via function minimization.
Junior Rojas +2 more
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PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics
CoRR, 2021 Simulated virtual environments serve as one of the main driving forces behind developing and evaluating skill learning algorithms. However, existing environments typically only simulate rigid body physics. Additionally, the simulation process usually does not provide gradients that might be useful for planning and control optimizations.
Zhiao Huang +6 more
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Implicit neural representation for physics-driven actuated soft bodies
ACM Transactions on Graphics, 2022 Active soft bodies can affect their shape through an internal actuation mechanism that induces a deformation. Similar to recent work, this paper utilizes a differentiable, quasi-static, and physics-based simulation layer to optimize for actuation signals parameterized by neural networks.
Lingchen Yang +5 more
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IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Musculoskeletal models have been widely used for detailed biomechanical analysis to characterise various functional impairments given their ability to estimate movement variables (i.e., muscle forces and joint moments) which cannot be readily measured in
Jie Zhang +6 more
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Information processing via physical soft body [PDF]
Scientific Reports, 2015 AbstractSoft machines have recently gained prominence due to their inherent softness and the resulting safety and resilience in applications. However, these machines also have disadvantages, as they respond with complex body dynamics when stimulated.
Nakajima, Kohei +3 more
openaire +5 more sources