A review of robot learning for manipulation: Challenges, representations, and algorithms
A key challenge in intelligent robotics is creating robots that are capable of directly
interacting with the world around them to achieve their goals. The last decade has seen …
interacting with the world around them to achieve their goals. The last decade has seen …
A comparative review of hand-eye calibration techniques for vision guided robots
Hand-eye calibration enables proper perception of the environment in which a vision guided
robot operates. Additionally, it enables the mapping of the scene in the robots frame. Proper …
robot operates. Additionally, it enables the mapping of the scene in the robots frame. Proper …
Learning to generalize kinematic models to novel objects
Robots operating in human environments must be capable of interacting with a wide variety
of articulated objects such as cabinets, refrigerators, and drawers. Existing approaches …
of articulated objects such as cabinets, refrigerators, and drawers. Existing approaches …
Factored pose estimation of articulated objects using efficient nonparametric belief propagation
Robots working in human environments often encounter a wide range of articulated objects,
such as tools, cabinets, and other jointed objects. Such articulated objects can take an …
such as tools, cabinets, and other jointed objects. Such articulated objects can take an …
Efficient nonparametric belief propagation for pose estimation and manipulation of articulated objects
Robots working in human environments often encounter a wide range of articulated objects,
such as tools, cabinets, and other jointed objects. Such articulated objects can take an …
such as tools, cabinets, and other jointed objects. Such articulated objects can take an …
Gbec: Geometry-based hand-eye calibration
Hand-eye calibration is the problem of solving the transformation from the end-effector of a
robot to the sensor attached to it. Commonly employed techniques, such as AXXB or AXZB …
robot to the sensor attached to it. Commonly employed techniques, such as AXXB or AXZB …
Learning to infer kinematic hierarchies for novel object instances
H Abdul-Rashid, M Freeman… - … on Robotics and …, 2022 - ieeexplore.ieee.org
Manipulating an articulated object requires perceiving its kinematic hierarchy: its parts, how
each can move, and how those motions are coupled. Previous work has explored …
each can move, and how those motions are coupled. Previous work has explored …
The manifold particle filter for state estimation on high-dimensional implicit manifolds
MC Koval, M Klingensmith, SS Srinivasa… - … on Robotics and …, 2017 - ieeexplore.ieee.org
We estimate the state of a noisy robot arm and underactuated hand using an implicit
Manifold Particle Filter (MPF) informed by contact sensors. As the robot touches the world, its …
Manifold Particle Filter (MPF) informed by contact sensors. As the robot touches the world, its …
Online Estimation of Self-Body Deflection With Various Sensor Data Based on Directional Statistics
H Sato, K Kawaharazuka, T Makabe… - 2023 IEEE/SICE …, 2023 - ieeexplore.ieee.org
In this paper, we propose a method for online estimation of the robot's posture. Our method
uses von Mises and Bingham distributions as probability distributions of joint angles and 3D …
uses von Mises and Bingham distributions as probability distributions of joint angles and 3D …