Alexandre Angleraud

About

Alexandre Angleraud is a robotics researcher whose work sits at the intersection of human-robot collaboration, robot programming, and intelligent interaction systems. His research addresses one of the field's central challenges: enabling robots to work alongside humans in industrial and everyday environments through intuitive, multi-modal communication — spanning verbal commands, co-speech gestures, and physical interaction. Angleraud's most influential contribution, "Sensor-based Human-Robot Collaboration for Industrial Tasks" (2023, 39 citations), exemplifies his focus on bridging the gap between robotic capability and real-world usability. His earlier work on coordinating shared tasks through commands (2021, 32 citations) helped establish accessible frameworks for robot programming without specialized expertise. Beyond interaction, he has contributed to robotic hardware design, including a compliant soft gripper for handling complex industrial parts (2020, 12 citations) and an open-source modular robot head for social robotics applications. More recently, Angleraud has explored imitation learning with tactile feedback and natural language instruction for hierarchical task planning, reflecting a broadening research agenda that integrates perception, learning, and communication. With over 120 cumulative citations, his work consistently prioritizes making robots more collaborative, adaptable, and accessible — qualities essential to the future of human-centered automation.

Research Focus

Key Achievements

Top Papers

1. 1
   Sensor-based human–robot collaboration for industrial tasks

   39 citations · 2023
2. 2
   Coordinating Shared Tasks in Human-Robot Collaboration by Commands

   32 citations · 2021
3. 3
   Soft Robotic Gripper With Compliant Cell Stacks for Industrial Part Handling

   12 citations · 2020
4. 4
   Teaching semantics and skills for human-robot collaboration

   11 citations · 2019
5. 5
   Human-Robot Interactive Learning Architecture using Ontologies and Symbol Manipulation

   9 citations · 2018
6. 6
   Seq2Seq Imitation Learning for Tactile Feedback-based Manipulation

   5 citations · 2023
7. 7
   Instructing Hierarchical Tasks to Robots by Verbal Commands

   5 citations · 2024
8. 8
   Co-Speech Gestures for Human-Robot Collaboration

   5 citations · 2023
9. 9
   Many Faced Robot - Design and Manufacturing of a Parametric, Modular and Open Source Robot Head

   4 citations · 2019
10. 10
    Virtual Teaching for Assembly Tasks Planning

    3 citations · 2020

Key Collaborators

Contact & Links