Results 101 to 110 of about 17,747 (268)

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

3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends

open access: yesAdvanced Robotics Research, EarlyView.
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu   +5 more
wiley   +1 more source

Can You See Me Now? Understanding Color Vision Deficiency [PDF]

open access: yes, 2011
Includes descriptive metadata provided by producer in MP3 audio file: "VU Faculty and Staff Health & Wellness - Can You See Me Now?
Swift, Melanie, Kendrick, Stacey
core  

Quantification and Standardized Description of Color Vision Deficiency Caused by Anomalous Trichromats—Part II: Modeling and Color Compensation

open access: yesEURASIP Journal on Image and Video Processing, 2008
A color compensation scheme has been developed to enhance the perception of people with color vision deficiency (CVD) and for people suffering from anomalous trichromacy.
Seungji Yang   +3 more
doaj   +1 more source

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

open access: yesAdvanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett   +5 more
wiley   +1 more source

The Effect of Training upon Faculty Stages of Concern about Making Color Vision Deficiency Adaptations [PDF]

open access: yes, 2021
Although color vision deficiency affects an appreciable portion of the human race, those with the condition do not enjoy mandatory educational accommodations. The purpose of this quasi-experimental investigation was to quantify the effect of professional
Pinner, Marlena H
core   +1 more source

Improving the Robustness of Visual Teach‐and‐Repeat Navigation Using Drift Error Correction and Event‐Based Vision for Low‐Light Environments

open access: yesAdvanced Robotics Research, EarlyView.
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley   +1 more source

Color Vision Deficiency and Color Universal Design(Lighting Technology Supporting Social Welfare) [PDF]

open access: yes, 2010
Most documents or web pages, including figures and graphs, are produced in color in order to attract viewers' attention and/or to help them obtain information.
中内, 茂樹, Nakauchi, Shigeki
core   +1 more source

Color vision deficiency among doctors: Can we make useful adaptations to the color codes used in the clinical environment? [PDF]

open access: yes, 2019
Color vision deficiency (formerly known as color blindness) is common as a congenital and as an acquired condition. Some professions, most famously commercial aviation, require their members to demonstrate normal color vision.

core   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

open access: yesAdvanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek   +3 more
wiley   +1 more source

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