Results 201 to 210 of about 10,944,909 (300)
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
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
The Medicine Success fund: financial support for widening participation medical students improves wellbeing and increases sense of belonging. [PDF]
McWade B, Marsden S, Ross C, Iqbal A.
europepmc +1 more source
This review identifies key design considerations for insect‐inspired microrobots capable of multimodal locomotion. To draw inspiration, biological and robotic strategies for moving in air, on water surfaces, and underwater are examined, along with approaches for crossing the air–water interface.
Mija Jovchevska +2 more
wiley +1 more source
Epidemiological trends in tuberculosis during a technical assistance project, Lusaka, Zambia, 2018-2021. [PDF]
Daka S, Ota M, Hirao S, Samungole G.
europepmc +1 more source
Degradable Magnetic Composites from Recycled NdFeB Magnets for Soft Actuation and Sensing
This work presents a degradable soft magnetic composite made from recycled NdFeB particles embedded in a gelatin‐based organogel. The material is processed into magnetic sensors and soft robotic components, which can later be dissolved in a green solvent to recover NdFeB magnetic particles.
Muhammad Bilal Khan +14 more
wiley +1 more source
Identification of independent predictors of successful external cephalic version: A retrospective multicenter study. [PDF]
Yang Y, Yang Q, Fan X.
europepmc +1 more source
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
Researcher profiles, proposal submission, and project approval: an exploratory case study at a Brazilian Federal Institute. [PDF]
da Costa WP +7 more
europepmc +1 more source
Conducting a successful simulation project [PDF]
openaire +1 more source

