Project Echo
Robot learning
Building the first humanoid robot in Delft starts with developing a prototype at half scale.
Using advanced computer vision, the robot detects colors to calculate ball trajectories. Object detection and ArUco tags map the surrounding environment. Finally, arm movements are trained through a combination of imitation and reinforcement learning techniques.
Status
Current Prototype - ECHO I:
The active system consists of two modular robotic arms mounted on a support frame, designed to catch and throw a volleyball. The robot uses computer vision, ArUco tags, and reinforcement learning to map its environment and control its movements.
Industry Pilot Projects:
Collaborating with Ambionic (a Skelex spin-off) to test a new single-rintable compliant robotic hand on the ECHO arm.
Building a cost-efficient, open-source hand for Daimon Robotics to demonstrate their DM-Tac F vision-based tactile sensors.
Recent Milestones:
Project Echo won the Student Award at the Regional Robotics Awards 2026 and is advancing to the national final at FuturePulse 2026 in Eindhoven.
Context
The Problem:
Current reliance on foreign, closed-architecture humanoids (such as those from Unitree) restricts hardware modification and complicates repair for university research groups.
The Solution:
Project Echo aims to provide a local, open-source humanoid platform with nearby support for researchers and student teams in Delft
The Approach:
Rather than treating a humanoid as a fixed unit, it is designed as a configurable, modular platform where researchers can adapt specific subsystems (arms, legs, hands) to their exact research needs.
Timeline
The origin
Dec
2025
A project originating from RoboArm 2025, that inspired Project Echo. A robot arm utilizing computer vision that can emulate the human arm using a simple laptop camera.
Industry Collaboration
May
2026
Collaboration with [insert company], to [insert text] and [insert text]
Team Expansion
Jun
2026
A leg division, hand divison and arm division have been created with their own respective team leads.
ECHO I
Aug
2026
The creation of the first prototype, a small-scale bi-articulate torso with 6 DoF at the arm and 2 DoF at the wrist.
Facilities
Mar
2027
Acquiring a new office in the Humanoid Centre Schiedam, with now access to the ecosystem and various testing facilities.
ECHO II
Sep
2027
Finishing of the second prototype, a 160cm full-scale humanoid robot.
The origin
Dec
2025
A project originating from RoboArm 2025, that inspired Project Echo. A robot arm utilizing computer vision that can emulate the human arm using a simple laptop camera.
Industry Collaboration
May
2026
Collaboration with [insert company], to [insert text] and [insert text]
Team Expansion
Jun
2026
A leg division, hand divison and arm division have been created with their own respective team leads.
ECHO I
Aug
2026
The creation of the first prototype, a small-scale bi-articulate torso with 6 DoF at the arm and 2 DoF at the wrist.
Facilities
Mar
2027
Acquiring a new office in the Humanoid Centre Schiedam, with now access to the ecosystem and various testing facilities.
ECHO II
Sep
2027
Finishing of the second prototype, a 160cm full-scale humanoid robot.
Open Roles
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Application Details
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Application
Find us at
Website
GitHub
YouTube
The Team
Software
Wolf Lenssens
Founder & Robot Learning Engineer
Department
Name
Role
Department
Name
Role
Management
Jula Tijink
Operational Manager
Department
Name
Role
Department
Name
Role
Leg Team
Qihao Guo
Lead Engineer
Department
Name
Role
Department
Name
Role
Arm Team
Bertjan Risseeuw
Lead Engineer
Department
Name
Role
Department
Name
Role
Hand Team
Nuria Segui Vidal
Lead Engineer
Department
Daniel Lippens
Mechanical Engineer
Department
Lukas Hoek
Mechanical Engineer
Department
Nicholas van der Pouw
Mechanical Engineer