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148 result(s) for “Probabilistic Inference” Page 1 of 3
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Localized and Incremental Probabilistic Inference for Large-Scale Networked Dynamical Systems
Kai Matsuka, Soon-Jo Chung
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Probabilistic Spiking Neural Network for Robotic Tactile Continual Learning
Senlin Fang, Yi Wen Liu, Chengliang Liu, Jingnan Wang, Yuanzhe Su, Yupo Zhang, Hoiio Kong, Zhengkun Yi, Xinyu Wu
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ERRA: An Embodied Representation and Reasoning Architecture for Long-Horizon Language-Conditioned Manipulation Tasks
Chao Zhao, Shuai Yuan, Chunli Jiang, Junhao Cai, Hongyu Yu, Michael Yu Wang, Qifeng Chen
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Uncertainty-Aware 3D Object-Level Mapping with Deep Shape Priors
Ziwei Liao, Jun Yang, Jingxing Qian, Angela P. Schoellig, Steven Lake Waslander
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Heuristic-Based Incremental Probabilistic Roadmap for Efficient UAV Exploration in Dynamic Environments
Zhefan Xu, Christopher Suzuki, Xiaoyang Zhan, Kenji Shimada
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Improved Generalization of Probabilistic Movement Primitives for Manipulation Trajectories
Xueyang Yao, Yinghan Chen, Bryan Patrick Tripp
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PROTAMP-RRT: A Probabilistic Integrated Task and Motion Planner Based on RRT
Alessio Saccuti, Riccardo Monica, Jacopo Aleotti
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Plug�n Play Task-Level Autonomy for Robotics Using POMDPs and Probabilistic Programs
Or Wertheim, Dan Rouven Suissa, Ronen Brafman
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Probabilistic Active Loop Closure for Autonomous Exploration
He Yin, Jong Jin Park, Marcelino Mendes de Almeida Neto, Martin Labrie, James Zamiska, Richard Kim
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A probabilistic approach for learning and adapting shared control skills with the human in the loop
Gabriel Quere, Freek Stulp, David Filliat, João Silvério
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Instructing Robots by Sketching: Learning from Demonstration via Probabilistic Diagrammatic Teaching
Weiming Zhi, Tianyi Zhang, Matthew Johnson-Roberson
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Efficient Hybrid Neuromorphic-Bayesian Model for Olfaction Sensing: Detection and Classification
Rizwana Kausar, Fakhreddine Zayer, Jaime Viegas, Jorge Dias
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Vision-Based Uncertainty-Aware Motion Planning Based on Probabilistic Semantic Segmentation
Ralf Römer, Armin Lederer, Samuel Tesfazgi, Sandra Hirche
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Probabilistic Motion Planning and Prediction Via Partitioned Scenario Replay
Oscar de Groot, Anish Sridharan, Javier Alonso-Mora, Laura Ferranti
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Generating Sparse Probabilistic Graphs for Efficient Planning in Uncertain Environments
Yasmin Veys, Martina Stadler, Nicholas Roy
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DiPA: Probabilistic Multi-Modal Interactive Prediction for Autonomous Driving
Anthony Knittel, Majd Hawasly, Stefano V. Albrecht, John Redford, Subramanian Ramamoorthy
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Graph-Based 3D Collision-Distance Estimation Network with Probabilistic Graph Rewiring
Minjae Song, Yeseung Kim, Min Jun Kim, Daehyung Park
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Distributed Control of a Limited Angular Field-Of-View Multi-Robot System in Communication-Denied Scenarios: A Probabilistic Approach
Mattia Catellani, Lorenzo Sabattini
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IPC: Incremental Probabilistic Consensus-Based Consistent Set Maximization for SLAM Backends
Emilio Olivastri, Alberto Pretto
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LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models
Kazuto Nakashima, Ryo Kurazume
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OctoMap-RT: Fast Probabilistic Volumetric Mapping Using Ray-Tracing GPUs
Heajung Min, Kyungmin Han, Young J. Kim
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Safe Networked Robotics with Probabilistic Verification
Sai Shankar Narasimhan, Sharachchandra Bhat, Sandeep Chinchali
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A Probabilistic Motion Model for Skid-Steer Wheeled Mobile Robot Navigation on Off-Road Terrains
Ananya Trivedi, Mark Zolotas, adeeb abbas, Sarvesh Prajapati, Salah Bazzi, Taskin Padir
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Simplified Continuous High Dimensional Belief Space Planning with Adaptive Probabilistic Belief-Dependent Constraints
Andrey Zhitnikov, Vadim Indelman
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A Probabilistic Model for Cobot Decision Making to Mitigate Human Fatigue in Repetitive Co-Manipulation Tasks
Aya Yaacoub, Vincent Thomas, Francis Colas, Pauline Maurice
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Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman Filter
Hsu-kuang Chiu, Chien-Yi Wang, Min-Hung Chen, Stephen F. Smith
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Neural Informed RRT*: Learning-based Path Planning with Point Cloud State Representations under Admissible Ellipsoidal Constraints
Zhe Huang, Hongyu Chen, John Pohovey, Katherine Driggs-Campbell
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Data-Driven Virtual Sensing for Probabilistic Condition Monitoring of Solenoid Valves
victor vantilborgh, Tom Lefebvre, Guillaume Crevecoeur
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Bayesian Constraint Inference from User Demonstrations Based on Margin-Respecting Preference Models
Dimitris Papadimitriou, Daniel Brown
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Multi-Level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection
Xinghao Zhu, Devesh Jha, Diego Romeres, Lingfeng Sun, Masayoshi Tomizuka, Anoop Cherian
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Integrated Data-Driven Inference and Planning-Based Human Motion Prediction for Safe Human-Robot Interaction
Youngim Nam, Cheolhyeon Kwon
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Amortized Inference for Efficient Grasp Model Adaptation
Michael Noseworthy, Seiji Shaw, Chad C. Kessens, Nicholas Roy
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CARE: Confidence-Rich Autonomous Robot Exploration Using Bayesian Kernel Inference and Optimization
Yang Xu, Ronghao Zheng, Senlin Zhang, Meiqin Liu, Shoudong Huang
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VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference
Soumya Banerjee, Vinay Kumar Verma, Avideep Mukherjee, DEEPAK GUPTA, Vinay Namboodiri, Piyush Rai
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A Guided Gaussian-Dirichlet Random Field for Scientist-In-The-Loop Inference in Underwater Robotics
Chad Samuelson, Joshua Mangelson
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Scene Informer: Anchor-Based Occlusion Inference and Trajectory Prediction in Partially Observable Environments
Bernard Lange, Jiachen Li, Mykel Kochenderfer
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Disentangled Neural Relational Inference for Interpretable Motion Prediction
Victoria Magdalena Dax, Jiachen Li, Enna Sachdeva, Nakul Agarwal, Mykel Kochenderfer
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GIRA: Gaussian Mixture Models for Inference and Robot Autonomy
Kshitij Goel, Wennie Tabib
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Active Inference for Reactive Temporal Logic Motion Planning
Ziyang Chen, Zhangli Zhou, Lin Li, Zhen Kan
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Spline-Interpolated Model Predictive Path Integral Control with Stein Variational Inference for Reactive Navigation
Takato Miura, Naoki Akai, Kohei Honda, Susumu Hara
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Force Estimation at the Bionic Soft Arm�s Tool-Center-Point during the Interaction with the Environment
Samuel Pilch, Daniel Müller, Oliver Sawodny
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Efficient and Accurate Mapping of Subsurface Anatomy Via Online Trajectory Optimization for Robot Assisted Surgery
Brian Y Cho, Alan Kuntz
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UncertaintyTrack: Exploiting Detection and Localization Uncertainty in Multi-Object Tracking
Chang Won Lee, Steven Lake Waslander
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MM4MM: Map Matching Framework for Multi-Session Mapping in Ambiguous and Perceptually-Degraded Environments
Zhenyu Wu, Wei Wang, Chunyang Zhao, Yufeng Yue, Jun Zhang, Hongming Shen, Danwei Wang
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SK-Net: Spectral-Based Knowledge Distillation in Low-Light Thermal Imagery for Robotic Perception
Aniruddh Sikdar, Jayant Teotia, Suresh Sundaram
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EdgePoint: Efficient Point Detection and Compact Description Via Distillation
Haodi Yao, Ning Hao, Chen Xie, Fenghua He
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EfficientDPS: Efficient and End-To-End Depth-Aware Panoptic Segmentation
Shengkai Wu, Liangliang Ren, linfeng gao, Yupeng Li, Wenyu Liu
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Robust Surgical Tool Tracking with Pixel-Based Probabilities for Projected Geometric Primitives
Christopher D'Ambrosia, Florian Richter, Zih-Yun Chiu, Nikhil Shinde, FEI LIU, Henrik Christensen, Michael C. Yip
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Belief Control Barrier Functions for Risk-Aware Control
Matti Vahs, Christian Pek, Jana Tumova
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V2CE: Video to Continuous Events Simulator
Zhongyang Zhang, Shuyang Cui, Kaidong Chai, Haowen Yu, Subhasis Dasgupta, UPAL MAHBUB, Tauhidur Rahman
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