Výsledky vyhledávání - "Hardware-software integration in robotics"

Hybrid-driven Disc-shaped Autonomous Underwater Vehicle with High Maneuverability and Gliding Capability: Design and Experiments Autor Li, Haoda, Jin, Zhihang, Huang, Jin, Liu, Zichen, Peng, Xianyu, Wang, Zhikun, Chen, Ying

“…This paper presents the mechatronic design and implementation of a hybrid-driven disc-shaped autonomous underwater vehicle (HD-AUV). The hybrid-driven system…”
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TactileAloha: Learning Bimanual Manipulation With Tactile Sensing Autor Gu, Ningquan, Kosuge, Kazuhiro, Hayashibe, Mitsuhiro

“…Tactile texture is vital for robotic manipulation but challenging for camera vision-based observation. To address this, we propose TactileAloha, an integrated…”
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Biarticular Rigid Powered Lower Extremity Exoskeleton Robot Autor Chen, Tianchi, Liu, Zhi, Li, Chaoyang, Chen, Xiaoan, Hu, Jianjun, Wu, Jiaxun, He, Ye

“…Lower extremity exoskeletons designed for multi-joint assistance are increasingly explored for rehabilitation and human augmentation. However, conventional…”
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Cloud-Native Fog Robotics: Model-Based Deployment and Evaluation of Real-Time Applications Autor Wen, Long, Zhang, Yu, Rickert, Markus, Lin, Jianjie, Pan, Fengjunjie, Knoll, Alois

“…As the field of robotics evolves, robots become increasingly multi-functional and complex. Currently, there is a need for solutions that enhance flexibility…”
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Accelerating Robot Dynamics Gradients on a CPU, GPU, and FPGA Autor Plancher, Brian, Neuman, Sabrina M., Bourgeat, Thomas, Kuindersma, Scott, Devadas, Srinivas, Reddi, Vijay Janapa

“…Computing the gradient of rigid body dynamics is a central operation in many state-of-the-art planning and control algorithms in robotics. Parallel computing…”
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OctoMap-RT: Fast Probabilistic Volumetric Mapping Using Ray-Tracing GPUs Autor Min, Heajung, Han, Kyung Min, Kim, Young J.

“…A 3D occupancy map that is accurately modeled after real-world environments is essential for reliably performing robotic tasks. Probabilistic volumetric…”
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Learning Robotic Manipulation of Natural Materials With Variable Properties for Construction Tasks Autor Kalousdian, Nicolas Kubail, Lochnicki, Grzegorz, Hartmann, Valentin N., Leder, Samuel, Oguz, Ozgur S., Menges, Achim, Toussaint, Marc

“…The introduction of robotics and machine learning to architectural construction is leading to more efficient construction practices. So far, robotic…”
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Hardware-in-the-Loop Soft Robotic Testing Framework using an Actor-Critic Deep Reinforcement Learning Algorithm Autor Marquez, Jesus, Sullivan, Charles, Price, Ryan M., Roberts, Robert C.

“…Polymer-based soft robots are difficult to characterize due to their non-linear nature. This difficulty is compounded by multiple additional degrees of…”
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Hardware-Accelerated Mars Sample Localization Via Deep Transfer Learning From Photorealistic Simulations Autor Castilla-Arquillo, Raul, Perez-del-Pulgar, Carlos, Paz-Delgado, Gonzalo Jesus, Gerdes, Levin

“…The goal of the Mars Sample Return campaign is to collect soil samples from the surface of Mars and return them to Earth for further study. The samples will be…”
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Binarized P-Network: Deep Reinforcement Learning of Robot Control from Raw Images on FPGA Autor Kadokawa, Yuki, Tsurumine, Yoshihisa, Matsubara, Takamitsu

“…This letter explores a deep reinforcement learning (DRL) approach for designing image-based control for edge robots to be implemented on Field Programmable…”
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From Scene Flow to Visual Odometry Through Local and Global Regularisation in Markov Random Fields Autor Scona, Raluca, Matsuki, Hidenobu, Davison, Andrew

“…We revisit pairwise Markov Random Field (MRF) formulations for RGB-D scene flow and leverage novel advances in processor design for real-time implementations…”
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