Results 131 to 140 of about 388 (219)
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
The Small-N Series in the Zero-Dimensional O(N) Model: Constructive Expansions and Transseries. [PDF]
Benedetti D +3 more
europepmc +1 more source
Efficient Characterization of Parametric Uncertainty of Complex (Bio)chemical Networks. [PDF]
Schillings C +3 more
europepmc +1 more source
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
Non-trivial Fixed Point of a ψ d 4 Fermionic Theory, II: Anomalous Exponent and Scaling Operators. [PDF]
Giuliani A +3 more
europepmc +1 more source
Regularity of non-stationary subdivision: a matrix approach. [PDF]
Charina M +3 more
europepmc +1 more source
A Soft Robotic Fish With a Dielectric Elastomer Actuator Body and Negative Stiffness Spine
This work introduces a bio‐mimetic soft robotic fish driven by fiber‐reinforced dielectric elastomer actuators integrated as its body. By prestretching this active skin against a flexible spine, a negative stiffness system is created, enabling large‐amplitude bending.
Markus Koenigsdorff +4 more
wiley +1 more source
Cusp Universality for Correlated Random Matrices. [PDF]
Erdős L, Henheik J, Riabov V.
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
The Role of the Mizar Mathematical Library for Interactive Proof Development in Mizar. [PDF]
Bancerek G +6 more
europepmc +1 more source

