Maani Ghaffari Jadidi

Orcid: 0000-0002-4734-4295

According to our database1, Maani Ghaffari Jadidi authored at least 92 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Efficient Data Collection Strategy for Modeling the Dynamics of Floating Robotic Vehicles Using Neural Networks.
J. Intell. Robotic Syst., December, 2024

Transfer Learning for Efficient Intent Prediction in Lower-Limb Prosthetics: A Strategy for Limited Datasets.
IEEE Robotics Autom. Lett., May, 2024

BDIS-SLAM: a lightweight CPU-based dense stereo SLAM for surgery.
Int. J. Comput. Assist. Radiol. Surg., May, 2024

ConvBKI: Real-Time Probabilistic Semantic Mapping Network With Quantifiable Uncertainty.
IEEE Trans. Robotics, 2024

DynaWeightPnP: Toward global real-time 3D-2D solver in PnP without correspondences.
CoRR, 2024

SLAM assisted 3D tracking system for laparoscopic surgery.
CoRR, 2024

Correspondence-Free SE(3) Point Cloud Registration in RKHS via Unsupervised Equivariant Learning.
CoRR, 2024

SE3ET: SE(3)-Equivariant Transformer for Low-Overlap Point Cloud Registration.
CoRR, 2024

Social Zone as a Barrier Function for Socially-Compliant Robot Navigation.
CoRR, 2024

VascularPilot3D: Toward a 3D fully autonomous navigation for endovascular robotics.
CoRR, 2024

Legged Robot State Estimation within Non-inertial Environments.
CoRR, 2024

GMKF: Generalized Moment Kalman Filter for Polynomial Systems with Arbitrary Noise.
CoRR, 2024

RKHS-BA: A Semantic Correspondence-Free Multi-View Registration Framework with Global Tracking.
CoRR, 2024

Iterative PnP and its application in 3D-2D vascular image registration for robot navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Lie Neurons: Adjoint-Equivariant Neural Networks for Semisimple Lie Algebras.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Convex Geometric Trajectory Tracking Using Lie Algebraic MPC for Autonomous Marine Vehicles.
IEEE Robotics Autom. Lett., December, 2023

Optical Flow-Based Vascular Respiratory Motion Compensation.
IEEE Robotics Autom. Lett., November, 2023

BDIS: Bayesian Dense Inverse Searching Method for Real-Time Stereo Surgical Image Matching.
IEEE Trans. Robotics, April, 2023

Robust Task Scheduling for Heterogeneous Robot Teams Under Capability Uncertainty.
IEEE Trans. Robotics, April, 2023

Multitask Learning for Scalable and Dense Multilayer Bayesian Map Inference.
IEEE Trans. Robotics, February, 2023

Fast and Noise-Resilient Magnetic Field Mapping on a Low-Cost UAV Using Gaussian Process Regression.
Sensors, 2023

Proprioceptive Invariant Robot State Estimation.
CoRR, 2023

Human-robot Matching and Routing for Multi-robot Tour Guiding under Time Uncertainty.
CoRR, 2023

Twilight SLAM: A Comparative Study of Low-Light Visual SLAM Pipelines.
CoRR, 2023

A Robust Keyframe-Based Visual SLAM for RGB-D Cameras in Challenging Scenarios.
IEEE Access, 2023

Convex Geometric Motion Planning on Lie Groups via Moment Relaxation.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Fully Proprioceptive Slip-Velocity-Aware State Estimation for Mobile Robots via Invariant Kalman Filtering and Disturbance Observer.
IROS, 2023

SoLo T-DIRL: Socially-Aware Dynamic Local Planner based on Trajectory-Ranked Deep Inverse Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Convolutional Bayesian Kernel Inference for 3D Semantic Mapping.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Moment-Based Kalman Filter: Nonlinear Kalman Filtering with Exact Moment Propagation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

4D Panoptic Segmentation as Invariant and Equivariant Field Prediction.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

E2PN: Efficient SE(3)-Equivariant Point Network.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
MotionSC: Data Set and Network for Real-Time Semantic Mapping in Dynamic Environments.
IEEE Robotics Autom. Lett., 2022

A Closed-Form Uncertainty Propagation in Non-Rigid Structure From Motion.
IEEE Robotics Autom. Lett., 2022

Fusing Convolutional Neural Network and Geometric Constraint for Image-Based Indoor Localization.
IEEE Robotics Autom. Lett., 2022

Energy-Based Legged Robots Terrain Traversability Modeling via Deep Inverse Reinforcement Learning.
IEEE Robotics Autom. Lett., 2022

Progress in symmetry preserving robot perception and control through geometry and learning.
Frontiers Robotics AI, 2022

Learning Task Requirements and Agent Capabilities for Multi-agent Task Allocation.
CoRR, 2022

Deep Convolutional Neural Network and Transfer Learning for Locomotion Intent Prediction.
CoRR, 2022

E<sup>2</sup>PN: Efficient SE(3)-Equivariant Point Network.
CoRR, 2022

Simultaneous Human-robot Matching and Routing for Multi-robot Tour Guiding under Time Uncertainty.
CoRR, 2022

Dynamic Semantic Occupancy Mapping Using 3D Scene Flow and Closed-Form Bayesian Inference.
IEEE Access, 2022

Providers-Clients-Robots: Framework for spatial-semantic planning for shared understanding in human-robot interaction.
Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication, 2022

Bayesian Dense Inverse Searching Algorithm for Real-Time Stereo Matching in Minimally Invasive Surgery.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

An Error-State Model Predictive Control on Connected Matrix Lie Groups for Legged Robot Control.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

SE(3)-Equivariant Point Cloud-Based Place Recognition.
Proceedings of the Conference on Robot Learning, 2022

Lie Algebraic Cost Function Design for Control on Lie Groups.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Input Influence Matrix Design for MIMO Discrete-Time Ultra-Local Model.
Proceedings of the American Control Conference, 2022

2021
LiDARTag: A Real-Time Fiducial Tag System for Point Clouds.
IEEE Robotics Autom. Lett., 2021

Nonparametric Continuous Sensor Registration.
J. Mach. Learn. Res., 2021

Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference.
CoRR, 2021

Deep Multi-Modal Contact Estimation for Invariant Observer Design on Quadruped Robots.
CoRR, 2021

Multi-Task Learning for Scalable and Dense Multi-Layer Bayesian Map Inference.
CoRR, 2021

Toward Safety-Aware Informative Motion Planning for Legged Robots.
CoRR, 2021

IEEE Access Special Section Editorial: Real-Time Machine Learning Applications in Mobile Robotics.
IEEE Access, 2021

A New Framework for Registration of Semantic Point Clouds from Stereo and RGB-D Cameras.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Correspondence-Free Point Cloud Registration with SO(3)-Equivariant Implicit Shape Representations.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Legged Robot State Estimation using Invariant Kalman Filtering and Learned Contact Events.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Characterizing the Uncertainty of Jointly Distributed Poses in the Lie Algebra.
IEEE Trans. Robotics, 2020

Bayesian Spatial Kernel Smoothing for Scalable Dense Semantic Mapping.
IEEE Robotics Autom. Lett., 2020

Contact-aided invariant extended Kalman filtering for robot state estimation.
Int. J. Robotics Res., 2020

Global Unifying Intrinsic Calibration for Spinning and Solid-State LiDARs.
CoRR, 2020

A Path-Dependent Variational Framework for Incremental Information Gathering.
CoRR, 2020

Monocular Depth Prediction through Continuous 3D Loss.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019
Boosting Shape Registration Algorithms via Reproducing Kernel Hilbert Space Regularizers.
IEEE Robotics Autom. Lett., 2019

Sampling-based incremental information gathering with applications to robotic exploration and environmental monitoring.
Int. J. Robotics Res., 2019

A Keyframe-based Continuous Visual SLAM for RGB-D Cameras via Nonparametric Joint Geometric and Appearance Representation.
CoRR, 2019

Adaptive Continuous Visual Odometry from RGB-D Images.
CoRR, 2019

Bayesian Spatial Kernel Smoothing for ScalableDense Semantic Mapping.
CoRR, 2019

LiDARTag: A Real-Time Fiducial Tag using Point Clouds.
CoRR, 2019

Continuous Direct Sparse Visual Odometry from RGB-D Images.
Proceedings of the Robotics: Science and Systems XV, 2019

DeepLocNet: Deep Observation Classification and Ranging Bias Regression for Radio Positioning Systems.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

2018
Hybrid Contact Preintegration for Visual-Inertial-Contact State Estimation within Factor Graphs.
CoRR, 2018

Gaussian processes autonomous mapping and exploration for range-sensing mobile robots.
Auton. Robots, 2018

Contact-Aided Invariant Extended Kalman Filtering for Legged Robot State Estimation.
Proceedings of the Robotics: Science and Systems XIV, 2018

Hybrid Contact Preintegration for Visual-Inertial-Contact State Estimation Using Factor Graphs.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

A Radio-Inertial Localization and Tracking System with BLE Beacons Prior Maps.
Proceedings of the 2018 International Conference on Indoor Positioning and Indoor Navigation, 2018

Legged Robot State-Estimation Through Combined Forward Kinematic and Preintegrated Contact Factors.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Semantic Iterative Closest Point through Expectation-Maximization.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Gaussian processes for information-theoretic robotic mapping and exploration
PhD thesis, 2017

Warped Gaussian Processes Occupancy Mapping With Uncertain Inputs.
IEEE Robotics Autom. Lett., 2017

Sparse Bayesian Inference for Dense Semantic Mapping.
CoRR, 2017

Calibrationless Radio-Inertial Localization and Tracking Systems using Smart Handheld Devices.
CoRR, 2017

Gaussian Processes Semantic Map Representation.
CoRR, 2017

Gaussian processes online observation classification for RSSI-based low-cost indoor positioning systems.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
Gaussian Process Autonomous Mapping and Exploration for Range Sensing Mobile Robots.
CoRR, 2016

Optimal preview control of the Nao biped robot using a UKF-based state observer.
Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2016

2015
Information-based view initialization in visual SLAM with a single omnidirectional camera.
Robotics Auton. Syst., 2015

Mutual information-based exploration on continuous occupancy maps.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

2014
Exploration on continuous Gaussian process frontier maps.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

2011
Model-based PI-fuzzy control of four-wheeled omni-directional mobile robots.
Robotics Auton. Syst., 2011

2009
Trajectory planning optimization with dynamic modeling of four wheeled omni-directional mobile robots.
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation, 2009


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