Search Results

ProAgent: From Robotic Process Automation to Agentic Process Automation

1 code implementation2 Nov 2023

Empirical experiments are conducted to detail its construction and execution procedure of workflow, showcasing the feasibility of APA, unveiling the possibility of a new paradigm of automation driven by agents.

Decision Making

Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

2 code implementations ICML 2020

Autonomous agents that must exhibit flexible and broad capabilities will need to be equipped with large repertoires of skills.

reinforcement-learning Reinforcement Learning (RL) +1

F-LOAM: Fast LiDAR Odometry And Mapping

1 code implementation2 Jul 2021

The proposed method achieves a competitive localization accuracy with a processing rate of more than 10 Hz in the public dataset evaluation, which provides a good trade-off between performance and computational cost for practical applications.

Robotics

Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics

3 code implementations14 Feb 2016

While an initial guess for the parameters may be obtained from dynamic models of the robot, parameters are usually tuned manually on the real system to achieve the best performance.

Bayesian Optimization

HypBO: Accelerating Black-Box Scientific Experiments Using Experts' Hypotheses

1 code implementation22 Aug 2023

Here, we exploit expert human knowledge in the form of hypotheses to direct Bayesian searches more quickly to promising regions of chemical space.

Bayesian Optimization Bilevel Optimization

A Self-supervised Learning System for Object Detection using Physics Simulation and Multi-view Pose Estimation

1 code implementation9 Mar 2017

The models are placed in physically realistic poses with respect to their environment to generate a labeled synthetic dataset.

Object object-detection +4

DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting

1 code implementation25 May 2021

We first show that the simulator can be calibrated to match resultant forces and deformation fields from a state-of-the-art commercial solver and real-world cutting datasets, with generality across cutting velocities and object instances.

Robotics

Robust Incremental State Estimation through Covariance Adaptation

1 code implementation11 Oct 2019

Recent advances in the fields of robotics and automation have spurred significant interest in robust state estimation.

Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems

1 code implementation28 May 2019

Our model class is a generalisation of nonlinear mixed-effects (NLME) dynamical systems, the statistical workhorse for many experimental sciences.

Bayesian Inference Zero-Shot Learning