no code implementations • 19 Mar 2025 • Cristiana de Farias, Luis Figueredo, Riddhiman Laha, Maxime Adjigble, Brahim Tamadazte, Rustam Stolkin, Sami Haddadin, Naresh Marturi
Robotic manipulation of unfamiliar objects in new environments is challenging and requires extensive training or laborious pre-programming.
no code implementations • 18 Sep 2024 • KeJia Chen, Zheng Shen, Yue Zhang, Lingyun Chen, Fan Wu, Zhenshan Bing, Sami Haddadin, Alois Knoll
To enhance the validity of LLM-generated plans, visual demonstrations and online videos have been widely employed to guide the planning process.
no code implementations • 4 Nov 2023 • Diego Hidalgo-Carvajal, Hanzhi Chen, Gemma C. Bettelani, Jaesug Jung, Melissa Zavaglia, Laura Busse, Abdeldjallil Naceri, Stefan Leutenegger, Sami Haddadin
The progressive prevalence of robots in human-suited environments has given rise to a myriad of object manipulation techniques, in which dexterity plays a paramount role.
no code implementations • 25 Oct 2023 • Sonja Groß, Amartya Ganguly, Hendrik Dietz, Sami Haddadin
We propose the next evolution of the artificial sense of touch, including an in-depth examination of the latest advancements in tactile sensing technology and the challenges that remain.
no code implementations • 18 Oct 2023 • Shengqiang Zhang, Philipp Wicke, Lütfi Kerem Şenel, Luis Figueredo, Abdeldjallil Naceri, Sami Haddadin, Barbara Plank, Hinrich Schütze
The convergence of embodied agents and large language models (LLMs) has brought significant advancements to embodied instruction following.
1 code implementation • 9 Oct 2023 • Michael G. Adam, Sebastian Eger, Martin Piccolrovazzi, Maged Iskandar, Joern Vogel, Alexander Dietrich, Seongjien Bien, Jon Skerlj, Abdeldjallil Naceri, Eckehard Steinbach, Alin Albu-Schaeffer, Sami Haddadin, Wolfram Burgard
As labor shortage increases in the health sector, the demand for assistive robotics grows.
no code implementations • 14 Sep 2023 • Edmundo Pozo Fortunić, Mehmet C. Yildirim, Dennis Ossadnik, Abdalla Swikir, Saeed Abdolshah, Sami Haddadin
Furthermore, we demonstrate that providing full control authority over the energy transfer timing and link decoupling allows the user to synchronously release both elastic joint and gravitational energy.
2 code implementations • 4 Aug 2022 • Arthur Bucker, Luis Figueredo, Sami Haddadin, Ashish Kapoor, Shuang Ma, Sai Vemprala, Rogerio Bonatti
Natural language is one of the most intuitive ways to express human intent.
no code implementations • 25 Mar 2022 • Arthur Bucker, Luis Figueredo, Sami Haddadin, Ashish Kapoor, Shuang Ma, Rogerio Bonatti
However, using language is seldom an easy task when humans need to express their intent towards robots, since most of the current language interfaces require rigid templates with a static set of action targets and commands.
no code implementations • 19 Oct 2021 • Maximilian Ulmer, Elie Aljalbout, Sascha Schwarz, Sami Haddadin
We combine these components through a bio-inspired action space that we call AFORCE.
no code implementations • 30 May 2021 • Carlos Magno C. O. Valle, Sami Haddadin
In this paper, we propose SyReNets, an approach that leverages neural networks for learning symbolic relations to accurately describe dynamic physical systems from data.
no code implementations • 30 Oct 2020 • Elie Aljalbout, Ji Chen, Konstantin Ritt, Maximilian Ulmer, Sami Haddadin
In this paper, we address the problem of vision-based obstacle avoidance for robotic manipulators.
1 code implementation • 25 Oct 2020 • Nirnai Rao, Elie Aljalbout, Axel Sauer, Sami Haddadin
Additionally, techniques from supervised learning are often used by default but influence the algorithms in a reinforcement learning setting in different and not well-understood ways.
2 code implementations • 21 Jul 2019 • Axel Sauer, Elie Aljalbout, Sami Haddadin
The framework leverages the idea of obtaining additional object templates during the tracking process.
Ranked #3 on
Visual Object Tracking
on VOT2017/18