Search Results - Hardware-Software Integration in Robotics

Cloud-Native Fog Robotics: Model-Based Deployment and Evaluation of Real-Time Applications by 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…”
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TactileAloha: Learning Bimanual Manipulation With Tactile Sensing by Gu, Ningquan, Kosuge, Kazuhiro, Hayashibe, Mitsuhiro

“…Tactile texture is vital for robotic manipulation but challenging for camera vision-based observation…”
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Biarticular Rigid Powered Lower Extremity Exoskeleton Robot by 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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Accelerating Robot Dynamics Gradients on a CPU, GPU, and FPGA by 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…”
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Hybrid-driven Disc-shaped Autonomous Underwater Vehicle with High Maneuverability and Gliding Capability: Design and Experiments by Li, Haoda, Jin, Zhihang, Huang, Jin, Liu, Zichen, Peng, Xianyu, Wang, Zhikun, Chen, Ying

“… In glider mode, the integration of rotatable dorsal fins and horizontal propeller thrusters enables the HD-AUV to transition seamlessly between diving and ascending phases…”
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Learning Robotic Manipulation of Natural Materials With Variable Properties for Construction Tasks by 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…”
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OctoMap-RT: Fast Probabilistic Volumetric Mapping Using Ray-Tracing GPUs by 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…”
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Hardware-in-the-Loop Soft Robotic Testing Framework using an Actor-Critic Deep Reinforcement Learning Algorithm by 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 by 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 by 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 by 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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SETY©: A next-generation robotic training platform for safe and autonomous surgery in space — surgical biomechatronics design and Hardware-Software integration within the SY-MIS project by Cornejo, Jose, Oscco, Bernabé, Gamarra-Vásquez, Luis, Mayorga, Jose, Tejada-Marroquin, Gabriel, Cuyotupac, Victor, Curioso, José, Castro, Jorge, Acuña, Jairo Sánchez, Cangahuala-Navarro, Martín, Huaraz, Gustavo, Nacarino, Adrian, Reategui, Mathias, Allcca, David, Cornejo, Ronaldo, Palomares, Ricardo, Vargas, Mariela, Cornejo, Jorge, Mendoza-Arias, Leslie M., Maldonado-Gómez, Renzo R., De La Barra, Daira, Charapaqui, Sandra, Charapaqui, Renzo, Sanchez, Bryan, La-Rosa, Anderson, Sebastian, Raul, Grossmann, Rafael J., Abou-Mrad, Adel, Perez-Bonet, Adolfo, Marano, Luigi, Goyal, Aman, Macias, Christian A., Oviedo, Rodolfo J.

“… Current robotic training platforms are optimized for terrestrial use. The objective is to explore The SETY…”
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Buying, specifying robotics: 2019 Robotics Research Report: Respondents to the Control Engineering and Plant Engineering 2019 Robotics Research survey identified use, trends, and purchasing habits of industrial robots and related hardware, software, peripherals, robotic safety, training, installation, integration, and maintenance by Hoske, Mark T

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Hardware‐Software Codesign of 2D Neuromorphic Optoelectronic Device for Dynamic Gesture Recognition by Wang, Jiarui, Lin, Yinan, You, Junqi, Yu, Tianze, Meng, Weifan, Sun, Linfeng

“…In‐sensor reservoir computing has recently gained considerable attention for its efficient training process and advanced integration of sensing, storage, and processing functionalities…”
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Towards a Unified Framework for Software-Hardware Integration in Evolutionary Robotics by Buchanan, Edgar, Le Goff, Léni, Hale, Matthew, Hart, Emma, Eiben, Agoston, De Carlo, Matteo, Angus, Mike, Woolley, Robert, Timmis, Jon, Winfield, Alan, Tyrrell, Andy

“…The discrepancy between simulated and hardware experiments, the reality gap, is a challenge in evolutionary robotics…”
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Evolution of Machine Learning Algorithms on Autonomous Robots by Mainampati, Manasa, Chandrasekaran, Balasubramaniyan

“… The concept of hardware and software integration and development is explained through a small robot such as Turtlebot used in the examples taken…”
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Hardware, Software, and Wetware Codesign Environment for Synthetic Biology by Oliveira, Samuel M.D., Densmore, Douglas

“… This paper describes a "hardware, software, wetware" codesign vision where software tools can be made to act as "genetic compilers" that transform high-level specifications into engineered "genetic circuits" (wetware…”
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Buying, specifying robotics by Hoske, Mark T

“…, peripherals, robotic safety, training, installation, integration, and maintenance. Industrial robots and related hardware, software, peripherals, robotic safety, training…”
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Buying, specifying robotics by Hoske, Mark T

“…, peripherals, robotic safety, training, installation, integration, and maintenance. Industrial robots and related hardware, software, peripherals, robotic safety, training…”
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From experimental to essential: The evolving role of augmented reality in neurosurgery (2012–2024) by Di Cosmo, Leonardo, El Choueiri, Jad, Pellicanò, Francesca, Salman, Hamza, Colella, Filippo, Zaed, Ismail, Cannizzaro, Delia

“… Advancements in hardware, software, and its integration with complementary technologies such as machine learning and robotics have improved its workflow and integration into the neurosurgical environment…”
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