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Achieving superior depth estimation accuracy with 88.9% fewer parameters, X-Lens redefines efficiency in heterogeneous camera systems.
ExtraGS slashes extrapolation artifacts in endoscopic view synthesis, setting a new benchmark for reliable surgical navigation.
Real-time differentiable clothing simulation enables robots to assist with dressing tasks more effectively than ever before, overcoming the limitations of traditional discrete garment models.
A novel variable impedance control framework for exoskeletons not only enhances task adaptability but also ensures safety through stability constraints derived from Lyapunov theory.
Tactile feedback, when strategically sampled and evaluated, unlocks robust and safe robotic insertion policies even under sub-millimeter tolerances.
Reconstructing surgical scenes from monocular endoscope videos with large camera motion just got a whole lot better, thanks to a new window-based approach that doesn't need stereo depth or perfect camera tracking.
Endoscopic SLAM gets a serious upgrade: deformation-aware 3D Gaussian Splatting slashes pose estimation error by up to 50% while producing higher-fidelity reconstructions.
Ditch the joystick: this shared control framework anticipates your navigation goals for mobile robots, slashing workload and boosting safety without sacrificing speed.
