activity
20182024
most citedNavigating by Touch: Haptic Monte Carlo Localization via Geometric Sensing and Terrain Classification

22 citations · 42 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2024★ 2 cited

Learning to Solve Abstract Reasoning Problems with Neurosymbolic Program Synthesis and Task Generation

Jakub Bednarek, Krzysztof Krawiec

The ability to think abstractly and reason by analogy is a prerequisite to rapidly adapt to new conditions, tackle newly encountered problems by decomposing them, and synthesize kn…

cs.RO2022★ 15 cited

Single-shot Foothold Selection and Constraint Evaluation for Quadruped Locomotion

D. Belter, J. Bednarek, H. -C. Lin +2

In this paper, we propose a method for selecting the optimal footholds for legged systems. The goal of the proposed method is to find the best foothold for the swing leg on a local…

cs.RO2021★ 22 cited

Navigating by Touch: Haptic Monte Carlo Localization via Geometric Sensing and Terrain Classification

Russell Buchanan, Jakub Bednarek, Marco Camurri +3

Legged robot navigation in extreme environments can hinder the use of cameras and laser scanners due to darkness, air obfuscation or sensor damage. In these conditions, propriocept…

cs.RO2020

Gaining a Sense of Touch. Physical Parameters Estimation using a Soft Gripper and Neural Networks

Michał Bednarek, Piotr Kicki, Jakub Bednarek +1

Soft grippers are gaining significant attention in the manipulation of elastic objects, where it is required to handle soft and unstructured objects which are vulnerable to deforma…

cs.LG2018★ 3 cited

Ain't Nobody Got Time For Coding: Structure-Aware Program Synthesis From Natural Language

Jakub Bednarek, Karol Piaskowski, Krzysztof Krawiec

Program synthesis from natural language (NL) is practical for humans and, once technically feasible, would significantly facilitate software development and revolutionize end-user…