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20162026
most citedLSTM-Based Zero-Velocity Detection for Robust Inertial Navigation

139 citations · 987 across the 58 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.RO2023

Euclidean Equivariant Models for Generative Graphical Inverse Kinematics

Oliver Limoyo, Filip Marić, Matthew Giamou +3

Quickly and reliably finding accurate inverse kinematics (IK) solutions remains a challenging problem for robotic manipulation. Existing numerical solvers typically produce a singl…

cs.RO2023★ 6 cited

Recovery Policies for Safe Exploration of Lunar Permanently Shadowed Regions by a Solar-Powered Rover

Olivier Lamarre, Shantanu Malhotra, Jonathan Kelly

The success of a multi-kilometre drive by a solar-powered rover at the lunar south pole depends upon careful planning in space and time due to highly dynamic solar illumination con…

cs.RO2023★ 1 cited

CIDGIKc: Distance-Geometric Inverse Kinematics for Continuum Robots

Hanna Jiamei Zhang, Matthew Giamou, Filip Marić +2

The small size, high dexterity, and intrinsic compliance of continuum robots (CRs) make them well suited for constrained environments. Solving the inverse kinematics (IK), that is…

cs.CV2023★ 11 cited

aUToLights: A Robust Multi-Camera Traffic Light Detection and Tracking System

Sean Wu, Nicole Amenta, Jiachen Zhou +2

Following four successful years in the SAE AutoDrive Challenge Series I, the University of Toronto is participating in the Series II competition to develop a Level 4 autonomous pas…

cs.RO2023★ 4 cited

The Sum of Its Parts: Visual Part Segmentation for Inertial Parameter Identification of Manipulated Objects

Philippe Nadeau, Matthew Giamou, Jonathan Kelly

To operate safely and efficiently alongside human workers, collaborative robots (cobots) require the ability to quickly understand the dynamics of manipulated objects. However, tra…

cs.RO2023★ 7 cited

Extrinsic Calibration of 2D Millimetre-Wavelength Radar Pairs Using Ego-Velocity Estimates

Qilong Cheng, Emmett Wise, Jonathan Kelly

Correct radar data fusion depends on knowledge of the spatial transform between sensor pairs. Current methods for determining this transform operate by aligning identifiable featur…