Results 41 to 50 of about 178,473 (276)

From Rigid to Soft Robotic Approaches for Neuroendoscopy

open access: yesAdvanced Robotics Research, EarlyView.
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday   +3 more
wiley   +1 more source

A study of the singularity locus in the joint space of planar parallel manipulators: special focus on cusps and nodes [PDF]

open access: yes, 2011
Cusps and nodes on plane sections of the singularity locus in the joint space of parallel manipulators play an important role in nonsingular assembly-mode changing motions.
Chablat, Damien   +2 more
core   +2 more sources

Kinematics, workspace and singularity analysis of a multi-mode parallel robot

open access: yes, 2017
A family of reconfigurable parallel robots can change motion modes by passing through constraint singularities by locking and releasing some passive joints of the robot.
Chablat, Damien   +2 more
core   +2 more sources

Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space

open access: yesAdvanced Robotics Research, EarlyView.
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo   +6 more
wiley   +1 more source

3D environment mapping using the Kinect V2 and path planning based on RRT algorithms [PDF]

open access: yes, 2016
This paper describes a 3D path planning system that is able to provide a solution trajectory for the automatic control of a robot. The proposed system uses a point cloud obtained from the robot workspace, with a Kinect V2 sensor to identify the interest ...
Aguilar Castillo, Wilbert Geovanny   +1 more
core   +3 more sources

Auto‐Routing Fluidic Printed Circuit Boards

open access: yesAdvanced Robotics Research, EarlyView.
This work introduces (STREAM) software tool for routing efficiently advanced macrofluidics, an open‐source software tool for automating the design of 3D‐printable fluidic circuit boards. STREAM streamlines tube routing and layout, enabling the rapid fabrication of fluidic networks for soft robotics, lab‐on‐a‐chip devices, microfluidics, and biohybrid ...
Savita V. Kendre   +3 more
wiley   +1 more source

The Doctor's Tale: Enacted Workspace and the General Practitioner

open access: yesForum: Qualitative Social Research, 2008
The environments and landscapes in which we live and work say much about who we are and how we act, yet there is little in the literature that considers Primary Care professionals' reflections on workspace and its impact on practice.
Frances Rapport   +2 more
doaj  

A design oriented study for 3R Orthogonal Manipulators With Geometric Simplifications [PDF]

open access: yes, 2007
This paper proposes a method to calculate the largest Regular Dextrous Workspace (RDW) of some types of three-revolute orthogonal manipulators that have at least one of their DH parameters equal to zero.
Chablat, Damien   +2 more
core   +2 more sources

Hard‐Magnetic Soft Millirobots in Underactuated Systems

open access: yesAdvanced Robotics Research, EarlyView.
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang   +4 more
wiley   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

open access: yesAdvanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat   +4 more
wiley   +1 more source

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