isdf: Real-time neural signed distance fields for robot perception

J Ortiz, A Clegg, J Dong, E Sucar, D Novotny… - arXiv preprint arXiv …, 2022 - arxiv.org
… from the keyframe set sampled from a distribution that is formed by normalising the running
… Then, the viewing direction is computed using the camera intrinsic matrix K and transformed …

Human posture prediction during physical human-robot interaction

L Vianello, JB Mouret, E Dalin… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
… to predict, in probabilistic terms, the human postures of an … might add to the intrinsic variability
of the human movement, thus … Our method computes a probabilistic estimation of the future …

A real-time hierarchical control method for safe humanrobot coexistence

B Liu, P Rocco, AM Zanchettin, F Zhao, G Jiang… - Robotics and Computer …, 2024 - Elsevier
… relative distance and velocity between the robot and human … the prior p u τ is a probability
distribution over u τ and a set of … , but only calculate the probability and gradient corresponding …

Convex iteration for distance-geometric inverse kinematics

M Giamou, F Marić, DM Rosen… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
… constraints of a robot: intrinsic robot geometry and obstacle avoidance … mobility for
manipulators, humanoid robots, and other … rank-d matrices with high probability for typical IK …

Model predictive control with gaussian processes for flexible multi-modal physical human robot interaction

K Haninger, C Hegeler… - … conference on robotics …, 2022 - ieeexplore.ieee.org
… Furthermore, MPC on nonlinear systems has no intrinsic … mode, possibly including prior
probabilities or transitions for the … the human joint angles q ∈ R4, we can calculate the human

A scalable approach to predict multi-agent motion for human-robot collaboration

MS Yasar, T Iqbal - IEEE Robotics and Automation Letters, 2021 - ieeexplore.ieee.org
… The discriminators compute the probability that a point zt or … a range of relevant and diverse
activities for human-robot col… that they are smaller than the intrinsic dimension of the data. …

Probabilistic modeling and Bayesian filtering for improved state estimation for soft robots

DW Kim, M Park, YL Park - IEEE Transactions on Robotics, 2021 - ieeexplore.ieee.org
… a wide range of challenges that traditional robots have not … computational burden during the
filtering process in our approach. … In Section V, we study a general probability distribution in …

Active Inference-Based Planning for Safe Human-Robot Interaction: Concurrent Consideration of Human Characteristic and Rationality

Y Nam, C Kwon - IEEE Robotics and Automation Letters, 2024 - ieeexplore.ieee.org
… To cope with the expensive computation of the SMPC, we … uncertainties associated with
human intrinsic factors, so-called … the posterior probability to the truncated normal distribution. …

[HTML][HTML] Humanrobot collaboration in sensorless assembly task learning enhanced by uncertainties adaptation via Bayesian Optimization

L Roveda, M Magni, M Cantoni, D Piga… - Robotics and Autonomous …, 2021 - Elsevier
… to compute a geometric motion plan for the robot executing … Translational p ̈ and rotational
φ ̈ c d (described by the intrinsic … transition probability matrix and the observation probability

A hierarchical architecture for humanrobot cooperation processes

K Darvish, E Simetti, F Mastrogiovanni… - … on Robotics, 2020 - ieeexplore.ieee.org
… neither considers the intrinsic uncertainties of robot actions (… Using a probabilistic modeling
of state transitions, the model … problems, computing the reference velocities for robot’s …