Results 111 to 120 of about 4,170,963 (333)
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
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
Event-Object-Meaning: A Key to the Art of Teaching Literature - and Maybe Everything Else [PDF]
https://digitalcommons.winthrop.edu/weeklyreader/1060/thumbnail ...
Bird, John, Teaching and Learning Center
core +1 more source
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
Academic Responsibility---Final Exams [PDF]
https://digitalcommons.winthrop.edu/weeklyreader/1001/thumbnail ...
Bird, John, Teaching and Learning Center
core +1 more source
A miniaturized soft optical sensor that uses thin film color tuning enables real‐time 3D shape‐sensing from a single red–green–blue (RGB) signal. When integrated into a soft robot, it enables closed‐loop control and autonomous navigation in a phantom lung environment without the need for onboard electronics, achieving sub‐millimeter accuracy through ...
Frank Juliá Wise +6 more
wiley +1 more source
Initial findings of a mixed methods investigation into students’ perceptions and approaches towards learning [PDF]
A Mixed Methods research methodology is suggested in this paper as a suitable model for the process of evaluating teaching and learning. The aim of this paper is to introduce some findings which have been obtained from research into teaching and learning
McDowell, Liz +2 more
core
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Ending Matters: Special Thanks and Filling Tanks [PDF]
https://digitalcommons.winthrop.edu/weeklyreader/1025/thumbnail ...
Bird, John, Teaching and Learning Center
core +1 more source
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar +8 more
wiley +1 more source

