Reshaping robot trajectories using natural language commands: A study of multi-modal data alignment using transformers

A Bucker, L Figueredo, S Haddadinl… - … on Intelligent Robots …, 2022 - ieeexplore.ieee.org
… The existing visuallanguage representation approaches primarily rely on BERTstyle [1] … the
CHOMP motion planner [44] to compute ξmod by modifying weights of different cost functions. …

Learning from naturalistic driving data for human-like autonomous highway driving

D Xu, Z Ding, X He, H Zhao, M Moze… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
… , efficiency and safety, the cost function is proposed to incorporate incentive … Motion planning
of a robotic system is generally framed as … The problem of learning driving style from expert …

A simultaneous localization and mapping (SLAM) framework for 2.5 D map building based on low-cost LiDAR and vision fusion

G Jiang, L Yin, S Jin, C Tian, X Ma, Y Ou - Applied sciences, 2019 - mdpi.com
… Estimating robot motion by matching extracted image features under different poses to build
… depth error of pixels as error functions, and minimizes the cost function to obtain the optimal …

Evolutionary algorithm-based complete coverage path planning for tetriamond tiling robots

AV Le, NHK Nhan, RE Mohan - Sensors, 2020 - mdpi.com
… for reconfigurable tiling robots. Second, we construct the TSP cost function based on the …
the robot is proportional to the summation of the linear moving distance and the mass of the …

An integrated framework of decision making and motion planning for autonomous vehicles considering social behaviors

P Hang, C Lv, C Huang, J Cai, Z Hu… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
… Since the main focus of this work is to investigate the effects of driving styles of surrounding
… Finally, the cost function of the host vehicle is a summation of the costs in terms of the driving …

Robotic telekinesis: Learning a robotic hand imitator by watching humans on youtube

A Sivakumar, K Shaw, D Pathak - arXiv preprint arXiv:2202.10448, 2022 - arxiv.org
… a cost function that captures the functional similarity between a human and a robot hand. …
Each operator differed in their style of motion, stances, and appearances, but there were no …

Generating Families of Optimally Actuated Gaits from a Legged System's Energetically Conservative Dynamics

M Raff, N Rosa, CD Remy - … Conference on Intelligent Robots …, 2022 - ieeexplore.ieee.org
… -cycle walking, Raibertstyle hoppers, and footstep planning … to generating energetically
optimal motions that starts with passive … show that for suitable cost functions the passive gaits are …

Pddlstream: Integrating symbolic planners and blackbox samplers via optimistic adaptive planning

CR Garrett, T Lozano-Pérez, LP Kaelbling - Proceedings of the …, 2020 - aaai.org
… PDDL standard when possible and adapts PDDL style and syntax when describing streams.
… p, the robot, executing trajectory ?t, would not collide with it. The cost function Dist gives the …

Dtc: Deep tracking control

F Jenelten, J He, F Farshidian, M Hutter - Science Robotics, 2024 - science.org
… appealing because of intuitive cost function tuning, accurate … motion that requires the robot
to perform a turn-in-place maneuver on a small surface area of 0.94 m by 0.44 m. The robot

Theseus: A library for differentiable nonlinear optimization

L Pineda, T Fan, M Monge… - Advances in …, 2022 - proceedings.neurips.cc
… goals to find robot states or actions in motion planning [5], … Beyond this, in the library we
include standard cost functions … pose measurement, motion models, and collision costs. We also …