Physics-Based Simulation of Soft-Body Deformation Using RGB-D Data [PDF]
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
doaj +4 more sources
A Soft Body Physics Simulator with Computational Offloading to the Cloud [PDF]
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
doaj +4 more sources
Implicit neural representation for physics-driven actuated soft bodies [PDF]
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
openalex +4 more sources
Differentiable Implicit Soft-Body Physics. [PDF]
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
+6 more sources
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable\n Physics [PDF]
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
+5 more sources
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics [PDF]
ICLR 2022 Spotlight.
Sizhe Li +5 more
openalex +3 more sources
DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics [PDF]
Combining gradient-based trajectory optimization with differentiable physics simulation is an efficient technique for solving soft-body manipulation problems. Using a well-crafted optimization objective, the solver can quickly converge onto a valid trajectory.
Zhiao Huang +5 more
openalex +3 more sources
Unifying Rigid and Soft Bodies Representation: The Sulfur Physics Engine [PDF]
Video games are (also) real-time interactive graphic simulations: hence, providing a convincing physics simulation for each specific game environment is of paramount importance in the process of achieving a satisfying player experience. While the existing game engines appropriately address many aspects of physics simulation, some others are still in ...
Dario Maggiorini +2 more
openalex +5 more sources
Implicit Physics-aware Policy for Dynamic Manipulation of Rigid Objects via Soft Body Tools [PDF]
Recent advancements in robot tool use have unlocked their usage for novel tasks, yet the predominant focus is on rigid-body tools, while the investigation of soft-body tools and their dynamic interaction with rigid bodies remains unexplored. This paper takes a pioneering step towards dynamic one-shot soft tool use for manipulating rigid objects, a ...
Zixing Wang, Ahmed H. Qureshi
+5 more sources
Simulating Soft-Bodied Swimmers with Particle-Based Physics [PDF]
In swimming virtual creatures, there is often a disparity between the level of detail in simulating a swimmer's body and that of the fluid it moves in. To address this disparity, we have developed a new approach to modeling swimming virtual creatures using pseudo-soft bodies and particle-based fluids, which has sufficient realism to investigate a ...
Chris Johnson +2 more
openalex +3 more sources

