Results 81 to 90 of about 16,671 (310)
, 2009 Today, large scale parallel simulations are fundamental tools to handle complex problems. The number of processors in current computation platforms has been recently increased and therefore it is necessary to optimize the application performance and to ...
Esther Andres +5 more
core +1 more source
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
Advanced Robotics Research, EarlyView.A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
Millipyde: A Cross-Platform Python Framework for Transparent GPU Acceleration
, 2021 The prevalence of general-purpose GPU computing continues to grow and tackle a wider variety of problems that benefit from GPU-acceleration. This acceleration often suffers from a high barrier to entry, however, due to the complexity of software tools ...
Asbury, James B
core +1 more source
Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains
Advanced Robotics Research, EarlyView.How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao +3 more
wiley +1 more source
Exploring GPGPU Acceleration of Process-Oriented Simulations [PDF]
, 2013 This paper reports on our experiences of using commodity GPUs to speed-up the execution of fine-grained concurrent simulations. Starting with an existing process-oriented `boids' simulation, we explore a variety of techniques aimed at improving ...
Pressnell, Thomas +2 more
core
Optimizing Quantum Computer Simulations With Data Compression & GPU Acceleration [PDF]
, 2023 Simulering av kvantdatorer har en hög minnesanvändning och ofta långa exekveringstider. Av den anledningen var syftet med detta projektet att analysera ifall datakomprimering och GPU-acceleration kan användas för att köra simuleringar med fler qubits ...
Forssén, Björn +5 more
core
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Advanced Robotics Research, EarlyView.Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2018 The field of pedestrian detection has come a long way in recent decades. In terms of accuracy, the current state-of-the-art is hands down reached by Deep Learning methods. However in terms of running speed this is not always the case, traditional methods are often still faster than their Deep Learning counterparts.
Van Ranst, Wiebe +2 more
openaire +2 more sources
Graphics processing unit accelerated coarse-grained protein-protein docking [PDF]
, 2011 Includes abstract.Includes bibliographical references (leaves [187]-202).In this work, we describe a Graphics processing unit (GPU) implementation of the Kim-Hummer coarse-grained model for protein docking simulations, using a Replica Exchange Monte ...
Tunbridge, Dr Ian +1 more
core
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Advanced Robotics Research, EarlyView.Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source