Results 161 to 170 of about 31,391 (258)
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
Acceleration of Expectation-Maximization algorithm for length-biased right-censored data. [PDF]
Chan KC.
europepmc +1 more source
Improved Expectation Maximization (EM) Algorithm based on Initial Parameter Selection
Maria Lolita G. Masangcap
openalex +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
Multi-state models and missing covariate data: Expectation-Maximization algorithm for likelihood estimation. [PDF]
Lou W +5 more
europepmc +1 more source
Pak Biawak, a necrobot, embodies an unusual fusion of biology and robotics. Designed to repurpose natural structures after death, it challenges conventional boundaries between nature and engineering. Its movements are precise yet unsettling, raising questions about sustainability, ethics, and the untapped potential of biointegrated machines.
Leo Foulds +2 more
wiley +1 more source
An Expectation Maximization algorithm for fitting the generalized odds-rate model to interval censored data. [PDF]
Zhou J, Zhang J, Lu W.
europepmc +1 more source
Permanent magnet putty (PMP) integrates high‐coercivity NdFeB particles with a dynamic polyborosiloxane–Ecoflex matrix, achieving rapid self‐healing (90% mechanical recovery in 10 s) and magnetic recovery within 20 min. With twice the sensitivity of commercial putties, PMP enables precise 5–30 N force detection and discrimination between pressing and ...
Ruotong Zhao +5 more
wiley +1 more source

