This paper proposes LONER, the first real-time LiDAR SLAM algorithm that...
A key challenge to ensuring the rapid transition of robotic systems from...
This paper unifies the theory of consistent-set maximization for robust
...
Uncertainty in state or model parameters is common in robotics and typic...
Most real-world 3D measurements from depth sensors are incomplete, and t...
This paper reports a novel result: with proper robot models on matrix Li...
Model-based reinforcement learning (MBRL) techniques have recently yield...
Deterministic methods for motion planning guarantee safety amidst uncert...
Generating safe motion plans in real-time is a key requirement for deplo...
A key challenge to the widespread deployment of robotic manipulators is ...
Performing real-time receding horizon motion planning for autonomous veh...
LiDARs have been widely adopted to modern self-driving vehicles, providi...
This paper presents a method for the robust selection of measurements in...
Recent advances in neural radiance fields (NeRFs) achieve state-of-the-a...
We present BiPOCO, a Bi-directional trajectory predictor with POse
COnst...
Video anomaly detection is a core problem in vision. Correctly detecting...
The equations of motion governing mobile robots are dependent on terrain...
This paper presents a control framework on Lie groups by designing the
c...
Ultra-Local Models (ULM) have been applied to perform model-free control...
Accurate prediction of pedestrian crossing behaviors by autonomous vehic...
Manipulators can be added to legged robots, allowing them to interact wi...
Highway driving invariably combines high speeds with the need to interac...
Point cloud analysis is an area of increasing interest due to the develo...
Reinforcement Learning (RL) algorithms have achieved remarkable performa...
People with lower-limb loss, the majority of which use passive prosthese...
Nonlinear dynamical systems can be made easier to control by lifting the...
Pedestrian trajectory prediction is an essential task in robotic applica...
The continual improvement of 3D sensors has driven the development of
al...
Uncooled microbolometers can enable robots to see in the absence of visi...
Pedestrians and drivers interact closely in a wide range of environments...
Attack detection and mitigation strategies for cyberphysical systems (CP...
To move through the world, mobile robots typically use a receding-horizo...
This paper presents a soft-robotic platform for exploring the ecological...
For robotic arms to operate in arbitrary environments, especially near
p...
Controlling soft continuum manipulator arms is difficult due to their
in...
Online control design using a high-fidelity, full-order model for a bipe...
Illumination effects in images, specifically cast shadows and shading, h...
Knowing and predicting dangerous factors within a scene are two key
comp...
Highway driving places significant demands on human drivers and autonomo...
An accurate characterization of pose uncertainty is essential for safe
a...
An accurate depth map of the environment is critical to the safe operati...
Safety guarantees are valuable in the control of walking robots, as fall...
Urban environments pose a significant challenge for autonomous vehicles ...
As autonomous robots increasingly become part of daily life, they will o...
Controlling soft robots with precision is a challenge due in large part ...
Anterior cruciate ligament (ACL) reconstruction necessitates months of
r...
Soft robots are challenging to model due to their nonlinear behavior.
Ho...
This paper presents an interconnected control-planning strategy for redu...
Autonomous navigation requires an accurate model or map of the environme...
Autonomous mobile robots must operate with limited sensor horizons in
un...