Media Summary: The stack-of-tasks approach allows defining complex The stack-of-tasks approach uses hierarchical quadratical programming for This video explores the functionality of Cyclo Control, the dedicated

Hqp Based Motion Generation - Detailed Analysis & Overview

The stack-of-tasks approach allows defining complex The stack-of-tasks approach uses hierarchical quadratical programming for This video explores the functionality of Cyclo Control, the dedicated Project Page: Arxiv: We have recently seen tremendous progress ... Ioannis Tsikelis (Inria), Evangelos Tsiatsianas (UPatras, Athena RC), Chairi Kiourt (Athena RC), Serena Ivaldi (Inria), ... Real-world autonomous systems often employ probabilistic predictive models of human behavior during planning to reason about ...

Grasping a dynamic target in the air is a challenging issue. This video presents a coordinated trajectory This is a video without sound. Humanoid Balance Control using Centroidal Angular Momentum Human-humanoid collaborative tasks require that the robot take into account the goals of the task, interaction forces with the ... Over the last 10 years we've seen Machine Learning consume everything, from the tech industry to the Nobel Prize, and yes, even ... Computer Vision Day 2 22 April 2021 Speaker: Kacper Kania, Warsaw University of Technology (collaboration with Tomasz ... The robots with high Degrees of Freedom (DoF) such as humanoids and mobile manipulators are expected to perform multiple ...

Photo Gallery

HQP-based motion generation
HQP-based motion generation (short)
AI WORKER #11: QP Based Motion Controller – Fast, Safe, and Seamless Motion Generation
[CVPR2024] OMG: Towards Open-vocabulary Motion Generation via Mixture of Controllers
[CVPR 2026] HandX: Scaling Bimanual Motion and Interaction Generation
AHMP: Agile Humanoid Motion Planning With Contact Sequence Discovery
A HJ Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning
A Coordinated Trajectory Generation Framework: for Dynamic Aerial Grasping Task
[IROS] Humanoid Balance Control using Centroidal Angular Momentum based on HQP
Generating Assistive Humanoid Motions with a Multi-Robot QP Controller
Horace He: Building Machine Learning Systems for a Trillion Trillion Floating Point Operations
Controllable Human Motion Generation from Trajectories | JRC Workshop 2021
View Detailed Profile
HQP-based motion generation

HQP-based motion generation

The stack-of-tasks approach allows defining complex

HQP-based motion generation (short)

HQP-based motion generation (short)

The stack-of-tasks approach uses hierarchical quadratical programming for

AI WORKER #11: QP Based Motion Controller – Fast, Safe, and Seamless Motion Generation

AI WORKER #11: QP Based Motion Controller – Fast, Safe, and Seamless Motion Generation

This video explores the functionality of Cyclo Control, the dedicated

[CVPR2024] OMG: Towards Open-vocabulary Motion Generation via Mixture of Controllers

[CVPR2024] OMG: Towards Open-vocabulary Motion Generation via Mixture of Controllers

Project Page: https://tr3e.github.io/omg-page/ Arxiv: https://arxiv.org/abs/2312.08985 We have recently seen tremendous progress ...

[CVPR 2026] HandX: Scaling Bimanual Motion and Interaction Generation

[CVPR 2026] HandX: Scaling Bimanual Motion and Interaction Generation

Project: https://handx-project.github.io/ Arxiv: https://arxiv.org/abs/2603.28766 Code & Data: ...

AHMP: Agile Humanoid Motion Planning With Contact Sequence Discovery

AHMP: Agile Humanoid Motion Planning With Contact Sequence Discovery

Ioannis Tsikelis (Inria), Evangelos Tsiatsianas (UPatras, Athena RC), Chairi Kiourt (Athena RC), Serena Ivaldi (Inria), ...

A HJ Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning

A HJ Reachability-Based Framework for Predicting and Analyzing Human Motion for Safe Planning

Real-world autonomous systems often employ probabilistic predictive models of human behavior during planning to reason about ...

A Coordinated Trajectory Generation Framework: for Dynamic Aerial Grasping Task

A Coordinated Trajectory Generation Framework: for Dynamic Aerial Grasping Task

Grasping a dynamic target in the air is a challenging issue. This video presents a coordinated trajectory

[IROS] Humanoid Balance Control using Centroidal Angular Momentum based on HQP

[IROS] Humanoid Balance Control using Centroidal Angular Momentum based on HQP

This is a video without sound. Humanoid Balance Control using Centroidal Angular Momentum

Generating Assistive Humanoid Motions with a Multi-Robot QP Controller

Generating Assistive Humanoid Motions with a Multi-Robot QP Controller

Human-humanoid collaborative tasks require that the robot take into account the goals of the task, interaction forces with the ...

Horace He: Building Machine Learning Systems for a Trillion Trillion Floating Point Operations

Horace He: Building Machine Learning Systems for a Trillion Trillion Floating Point Operations

Over the last 10 years we've seen Machine Learning consume everything, from the tech industry to the Nobel Prize, and yes, even ...

Controllable Human Motion Generation from Trajectories | JRC Workshop 2021

Controllable Human Motion Generation from Trajectories | JRC Workshop 2021

Computer Vision | Day 2 22 April 2021 Speaker: Kacper Kania, Warsaw University of Technology (collaboration with Tomasz ...

Continuous Task Transition Approach for Robot Controller based on Hierarchical Quadratic Programming

Continuous Task Transition Approach for Robot Controller based on Hierarchical Quadratic Programming

The robots with high Degrees of Freedom (DoF) such as humanoids and mobile manipulators are expected to perform multiple ...