Results 171 to 180 of about 112,710 (299)
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
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi +2 more
wiley +1 more source
On Numerical and Analytical Investigation of the Effectiveness of Strengthening of Steel Columns-Case Study. [PDF]
Szafran J +2 more
europepmc +1 more source
Curious extensions of Ramanujan’s 1ψ1 summation formula
. We deduce new q-series identities by applying inverse rela-tions to certain identities for basic hypergeometric series. The identities obtained themselves do not belong to the hierarchy of basic hypergeomet-ric series.
J. Schlosser, Michael, Victor J. W. Guo
core
Compliant Pneumatic Feet with Real‐Time Stiffness Adaptation for Humanoid Locomotion
A compliant pneumatic foot with real‐time variable stiffness enables humanoid robots to adapt to changing terrains. Using onboard vision and pressure control, the foot modulates stiffness within each gait cycle, reducing impact forces and improving balance. The design, cast in soft silicone with embedded air chambers and Kevlar wrapping, offers durable,
Irene Frizza +3 more
wiley +1 more source
A General Approach for Estimating Projective IRT Models. [PDF]
Chalmers RP, Falk CF, Reise SP.
europepmc +1 more source
This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
wiley +1 more source
Psychological Value Theory: Predicting Initial Romantic Partner Choice From a General-Purpose, Computational Cognitive Model of Value-Based Choice. [PDF]
Cohen DJ, White TD, Luo S.
europepmc +1 more source
Spatial autocorrelation equation based on Moran's index. [PDF]
Chen Y.
europepmc +1 more source

