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Computational co-optimization of design parameters and motion trajectories for robotic systems
We present a novel computational approach to optimizing the morphological design of
robots. Our framework takes as input a parameterized robot design as well as a motion plan …
robots. Our framework takes as input a parameterized robot design as well as a motion plan …
Meta reinforcement learning for optimal design of legged robots
The process of robot design is a complex task and the majority of design decisions are still
based on human intuition or tedious manual tuning. A more informed way of facing this task …
based on human intuition or tedious manual tuning. A more informed way of facing this task …
[PDF][PDF] Joint Optimization of Robot Design and Motion Parameters using the Implicit Function Theorem.
We present a novel computational approach to optimizing the morphological design of
robots. Our framework takes as input a parameterized robot design and a motion plan …
robots. Our framework takes as input a parameterized robot design and a motion plan …
Computational design of robotic devices from high-level motion specifications
We present a novel computational approach to design the robotic devices from high-level
motion specifications. Our computational system uses a library of modular components …
motion specifications. Our computational system uses a library of modular components …
Computational design towards energy efficient optimization in overconstrained robotic limbs
Legged robots are constantly evolving, and energy efficiency is a major driving factor in their
design. However, combining mechanism efficiency and trajectory planning can be …
design. However, combining mechanism efficiency and trajectory planning can be …
Vitruvio: An open-source leg design optimization toolbox for walking robots
M Chadwick, H Kolvenbach, F Dubois… - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
We present an open-source framework for develo** optimal leg designs for walking
robots. The leg design parameters (eg, link lengths, transmission ratios, and spring …
robots. The leg design parameters (eg, link lengths, transmission ratios, and spring …
One robot for many tasks: Versatile co-design through stochastic programming
Versatility is one of the main factors driving the adoption of robots on the assembly line and
in other applications. Compared to fixed-automation solutions, a single industrial robot can …
in other applications. Compared to fixed-automation solutions, a single industrial robot can …
Optimal design of robotic character kinematics
G Maloisel, C Schumacher, E Knoop… - ACM Transactions on …, 2023 - dl.acm.org
The kinematic motion of a robotic character is defined by its mechanical joints and actuators
that restrict the relative motion of its rigid components. Designing robots that perform a given …
that restrict the relative motion of its rigid components. Designing robots that perform a given …
Robust Co-Design of Canonical Underactuated Systems for Increased Certifiable Stability
Optimal behaviours of a system to perform a specific task can be achieved by leveraging the
coupling between trajectory optimization, stabilization, and design optimization. This …
coupling between trajectory optimization, stabilization, and design optimization. This …
A versatile co-design approach for dynamic legged robots
We present a versatile framework for the computational co-design of legged robots and
dynamic maneuvers. Current state-of-the-art approaches are typically based on random …
dynamic maneuvers. Current state-of-the-art approaches are typically based on random …