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64 result(s) for “Machine Learning” Page 1 of 2
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Tree Canopy Segmentation and Characterization Using LiDAR for Machine Learning Models
Jesus Monroy, Alejandro Téllez-Quiñones, Rodrigo Lopez-Farias, Hipolito Aguilar-Sierra
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Motion Capture and Machine Learning-Based Evaluation of Surgical Skills in Laparoscopic Cadaver Training
Lingbo Yan, Takashige Abe, Koki Ebina, Masafumi Kon, Madoka Higuchi, Kiyohiko Hotta, Jun Furumido, Naoya Iwahara, Shunsuke Komizunai, Teppei Tsujita, Kazuya Sase, Xiaoshuai Chen, Hiroshi Kikuchi, Haruka Miyata, ryuji Matsumoto, Takairo Osawa, Sachiyo Murai, Toshiaki Shichinohe, Soichi Murakami, Taku Senoo, Masahiko Watanabe, Atsushi Konno
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Improving Attitude and Heading Reference Systems Performance Via Machine Learning-Driven Parameters Fine-Tuning
Tommaso Castiglione Ferrari, Felipe Oliveira
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Evaluation of Surgical Skills Using Machine Learning and Interpretation of Results with Explainable AI in Practical Laparoscopic Surgery Training
Lingbo Yan, Takashige Abe, Koki Ebina, Masafumi Kon, Madoka Higuchi, Kiyohiko Hotta, Jun Furumido, Naoya Iwahara, Shunsuke Komizunai, Teppei Tsujita, Kazuya Sase, Xiaoshuai Chen, Hiroshi Kikuchi, Haruka Miyata, ryuji Matsumoto, Takairo Osawa, Sachiyo Murai, Toshiaki Shichinohe, Soichi Murakami, Taku Senoo, Masahiko Watanabe, Atsushi Konno
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The Design and Development of a Machine Leaning Wildfire UAV Swarm Algorithm: IPCA
Kaitlyn Kozak, Matthew Paul, Caleb Lawson, James McCusker
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Prediction of Observational Gait Analysis Score in Stroke Using Sagittal Plane Gait Video and Clinical Assessment Data
Masataka Yamamoto, Yusuke Murakami, Naoya Oeda, Hiroshi Takemura
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Sample-Efficient Robot Learning for Supervised Effect Prediction Tasks
Mehmet Arda Eren, Jan Babic, Erhan Oztop
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Noise-Robust Speech-Based Severity Assessment for Emergency Calls
KANJI OKAZAKI, Keiichi Watanuki
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High-Precision Trajectory Generation Based on Data-Driven Model Predictive Control with Weight Optimization
Junya Fukui, Takashi Nammoto
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VAE-Based Synthetic EMG Generation with Mix-Consistency Loss for Recognizing Unseen Motion Combinations
Itsuki Yazawa, Akira Furui
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Vibrotactile Feedback Enhancement for Polishing Tasks: A Perceptual Study of Signal Deformation Strategies
Amane Tamada, Shogo Sakairi, Natsuki Hayami, Naruhiro Mega, Rie Nishihama, Takako Yoshida, Taro Nakamura, Manabu Okui
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Dynamics-Based Feedforward Control of CNC-Controlled Robots Using Digital Twins from Virtual Commissioning with Extended Dynamical Behavior
Denis Pfeifer, Marius Baur, Christian Scheifele, Jörg Fehr
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Learning Dynamic Non-Prehensile Object Reorientation Via Reinforcement Learning
Abdullah Mustafa, Ryo Hanai, Ixchel G. Ramirez-Alpizar, Floris Marc Arden Erich, Ryoichi Nakajo, Yukiyasu Domae, Tetsuya Ogata
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Identifying Bottlenecks in Student Learning Using Eye Tracking Measurements in Lathe Operation Training
Masafumi KIMIZUKA, Yukihiro ITO, Hiroshi SAITO, Daisuke Chugo, Hiroshi Hashimoto
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An Object Placement Optimization System for Efficient and Unbiased Imitation Learning Data Collection
Hiromasa Yamaguchi, Yuga Yano, Hakaru Tamukoh
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Learning Humanoid Loco-Manipulation with Constraints As Terminations
Pierre-Alexandre Leziart, Mitsuharu Morisawa, Fumio Kanehiro
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Improving Robotic Imitation Learning with Predicted Facial Motion Using Transformers
Yitong Li, Fumio Kanehiro
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Learning Better Paths: Multimodal Generative Models Enhanced with Local Critics
Jorge Ocampo Jimenez, Wael Suleiman
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A Flexible Field-Based Policy Learning Framework for Diverse Robotic Systems and Sensors
Jose Gustavo Buenaventura Carreon, Floris Marc Arden Erich, Roman Mykhailyshyn, Tomohiro Motoda, Ryo Hanai, Yukiyasu Domae
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A Deep Learning-Based Anomaly Forecasting System of Time Series Sensor Data in Autonomous Vehicles*
Min-Seon Chae, Tae-Hyoung Park
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AIREC-Basic: Consistent Demonstration Data Collection for Imitation Learning with Redundant Robot Arms
Hiroshi Ito, Yoshiki Kanai, Akira Kanazawa, Hideyuki Ichiwara, Takahiro Yoshida, Naoaki Noguchi, Tetsuya Ogata
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Dynamic Bimanual Cloth Manipulation Via Dynamic Movement Primitives and Reinforcement Learning
Matija Mavsar, Ales Ude, Andrej Gams
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Data Augmentation for Continual Learning of Fast and Smooth Imitation Motions Using Model Predictive Control
Akira Kanazawa, Hiroshi Ito, Hideyuki Ichiwara, Yoshiki Kanai, Takahiro Yoshida, Hiroyuki Yamada, Naoaki Noguchi
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Motion Generation for Surgical Robots Using Task-Aware Attention Based on Deep Predictive Learning
Hidetoshi Taira, Maina Sogabe, Tetsuro Miyazaki, Kenji Kawashima
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Towards Torque-Driven Reinforcement Learning for Quadruped Locomotion
Jordan Dowdy, Jean Chagas Vaz
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Can Policy Learning with Time Limits Be Used for Contact-Rich Industrial Manipulation?
Bharat Singh, Jack Kilpatrick, Sebastian Joya-Paez, Ryo Hanai, Ixchel G. Ramirez-Alpizar, Natsuki Yamanobe, Yukiyasu Domae
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Feature-Conditioned Reinforcement Learning for Generalizable Engineering Optimization: Benchmarking on Multimodal Test Functions
Varun S. Chavan, Mitsuru Endo, Zexin Shan, Yukio Tsutsui
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Learning Diffusion Policies from Demonstrations for Compliant Contact-Rich Manipulation
Malek Aburub, Cristian Camilo Beltran-Hernandez, Tatsuya Kamijo, Masashi Hamaya
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Expert-Guided Imitation for Learning Humanoid Loco-Manipulation from Motion Capture
Rohan Pratap Singh, Pierre-Alexandre Leziart, Masaki Murooka, Mitsuharu Morisawa, Eiichi Yoshida, Fumio Kanehiro
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A Data-Driven Learning-From-Demonstration Framework for Robotic Grasping
Lars Pedersen, Erik Diniz Costa Lopes Lindby, Jeppe Langaa, Leon Bodenhagen, Aljaz Kramberger
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Movement-Specific Analysis for FIM Score Classification Using Spatio-Temporal Deep Learning
Jun Masaki, Ariaki Higashi, Naoko Shinagawa, Kazuhiko Hirata, Yuichi Kurita, Akira Furui
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Sensor-Driven Strain Detection and Deep Learning Evaluation of Passive Exoskeletons in Industrial Tasks
Sebastian Buxman, Fatemeh Davoudi Kakhki, Armin Moghadam
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Rewarding Change Beyond State: Directional VLM Rewards for Sample-Efficient Robot Reinforcement Learning
Linus, Christoffer Lundgren, Wenhao Lu, Zhitao Liang, Ze Zhang, Karinne Ramirez-Amaro, Emmanuel Dean
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Data-Driven Dynamic Parameter Learning of Manipulator Robots
Mohammed Elseiagy, Tsige Tadesse Alemayoh, Ranulfo Bezerra, Shotaro Kojima, Kazunori Ohno
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Intermodal Journey Planning to Transportation Hubs in a Microscopic Environment: A Multi-Objective Multi-Agent Reinforcement Learning Optimization Framework
Dominik Wittenberg, Nick Schade, Jürgen Pannek
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Dynamic Swarm Reconfiguration Via Multi-Level Adaptive Cooperative Architecture for Multi-Robot Exploration
Shohei Inoue, Kosuke Sakamoto, Yasuharu Kunii
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Grasping Motion Generation for Deformable Objects under Dynamic Position Changes Via Variance Prediction
Riko Kawata, Hyogo Hiruma, Hiroshi Ito, Tetsuya Ogata, Shigeki Sugano
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Fast Action Generation Via Knowledge Distillation with Flow Matching for Social Navigation
Yuki Tomita, Kohei Matsumoto, Yuki Hyodo, Kazuto Nakashima, Ryo Kurazume
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Accelerating Teleoperation Skill Acquisition through Visuo-Haptic Replay
Francisco Miguel Ribeiro, Jihoon Park, Minoru Asada, Erhan Oztop
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Tactile-Based Active Inference for Force-Controlled Peg-In-Hole Insertions
Tatsuya Kamijo, Ixchel G. Ramirez-Alpizar, Enrique Coronado, Gentiane Venture
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Object Deformation Suppression for Grasping Leveraging Optical Proximity Sensors
Shunsuke Tokiwa, Hikaru Arita, Yosuke Suzuki, Kazuto Nakashima, Kenji Tahara
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Three-Dimensional Knee Joint Load Estimation System During Walking Using IMU Sensors for the Prevention of Knee Osteoarthritis: A Fundamental Study
Riku Yoshizawa, Akira Uehara, Yoshiyuki Sankai, Hiroaki Kawamoto
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Towards Synergistic Human-Robot Co-Adaptation Via Reciprocal Feedback for Shared Contact Tasks
Deniz Yilmaz, Shinya Chiyohara, Jun-ichiro Furukawa, Erhan Oztop, Hiroshi Imamizu, Jun Morimoto, Barkan Ugurlu
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A Low-Cost UAV-Based Framework for Post-Seismic Crack Detection with CNN and Gesture Control
Ruben Fuentes-Alvarez, Carlos Guillermo Valerio-Naranjo, Oscar Ramirez
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Road Surface Estimation and Obstacle Detection Using Fisheye Stereo Camera and Monocular Depth Estimation
Hikaru Chikugo, Jonoshin Shiino, Sarthak Pathak, Kazunori Umeda
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Multi-Object Loco-Manipulation Using Body Holding Primitives for Humanoids
Zhongkai Gu, Wei Zhu, Mitsuhiro Hayashibe
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Integrated ML-Calibrated Sensing with Neural Network Control for Horticultural Lighting
Afagh Mohagheghi, Mehrdad Moallem
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Self-Rising Bipedal Robot for Embracing Fall Impact and Fall Detection with Multimodal Sensing
Kenta Hirashima, Daniel Campos Zamora, Kevin Gim, Joohyung Kim
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DeepSense++: Robust HAR with Missing Data
Suryakangeyan Kandasamy Gowdaman, Sayma Akther
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Graph Neural Networks Enhance CTRCD Detection from 12-Lead ECG by Modeling Inter-Lead Relationships: A Preliminary Study
Yifan Liang, Natsu Suyama, Yuki Ishizuka, Takio Kurita, Kazuko Tajiri, Akira Furui
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