Results 11 to 20 of about 5,658,103 (175)
Contact Points Discovery for Soft-Body Manipulations with Differentiable Physics
CoRR, 2022 Differentiable physics has recently been shown as a powerful tool for solving soft-body manipulation tasks. However, the differentiable physics solver often gets stuck when the initial contact points of the end effectors are sub-optimal or when ...
Du, Tao +5 more
core +4 more sources
Quanta (Virginia Polytechnic Institute and State University. Physics Department) [PDF]
, 2015 A semi-annual newsletter for the faculty, staff, students, alumni & friends of the Virginia Tech Physics ...
Virginia Tech. Department of Physics
core +17 more sources
DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics
Advances in Neural Information Processing Systems 36, 2023 Combining gradient-based trajectory optimization with differentiable physics simulation is an efficient technique for solving soft-body manipulation problems.
Pu, Yewen +5 more
core +4 more sources
Soft physics: healing the mind/body split in physics education
, 2012 Physics education is facing a crisis of meaning: students can “plug” numbers into formulas, but research shows they do not give much meaning to physical concepts.
Pfeiffer, Benoite Jeanne Françoise
core +3 more sources
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
openaire +2 more sources
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
openaire +3 more sources
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
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
openaire +4 more sources
Simulating Soft-Bodied Swimmers with Particle-Based Physics [PDF]
Soft Robotics, 2019 Abstract 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 ...
Johnson, Chris +2 more
openaire +2 more sources
Unifying Rigid and Soft Bodies Representation: The Sulfur Physics Engine [PDF]
International Journal of Computer Games Technology, 2014 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
openaire +4 more sources