20 citations · 30 across the 16 of their papers we have counts for
19 papers
Solving a Giant Rubik's Cube with a Quadruped Robot
Lukas Amiet, Gabriel Sánchez-Blanco Repgen, Mayank Mittal +4
Pedipulating a freestanding articulated object requires controlling its pose and internal configuration while maintaining balance. We demonstrate this capability by autonomously so…
Learning Agile Perceptive Traversal of Sparse 3D Structures for Humanoids
Efe Ongan, Chong Zhang, Boyang Sun +3
Traversing sparse 3D structures requires humanoid robots to perceive thin, overhanging geometry while executing agile, accurate whole-body motions. We study this problem through mo…
Contact-Guided Exploration for Non-Prehensile Locomanipulation with Multi-Critic RL
Simone Tolomei, Mayank Mittal, Franco Angelini +3
Non-prehensile manipulation offers versatile skills for moving and rearranging heavy or bulky objects, particularly when combined with a mobile manipulation platform. However, both…
Learning Locomotion on Discrete Terrain via Minimal Proximity Sensing
Jiale Fan, Connor Flynn, Tianao Xu +4
Learning-based control has revolutionized dynamic locomotion, yet navigating unstructured terrain remains limited by a robot's incomplete awareness of imminent ground contact. Whil…
Learning Multi-Agent Local Collision-Avoidance for Collaborative Carrying tasks with Coupled Quadrupedal Robots
Francesca Bray, Simone Tolomei, Andrei Cramariuc +2
Robotic collaborative carrying could greatly benefit human activities like warehouse and construction site management. However, coordinating the simultaneous motion of multiple rob…
Beyond Cybathlon: On-demand Quadrupedal Assistance for People with Limited Mobility
Carmen Scheidemann, Andrei Cramariuc, Changan Chen +2
Background: Assistance robots have the potential to increase the independence of people who need daily care due to limited mobility or being wheelchair-bound. Current solutions of…
One-Shot Badminton Shuttle Detection for Mobile Robots
Florentin Dipner, William Talbot, Turcan Tuna +2
This paper presents a robust one-shot badminton shuttlecock detection framework for non-stationary robots. To address the lack of egocentric shuttlecock detection datasets, we intr…
DexEvolve: Evolutionary Optimization for Robust and Diverse Dexterous Grasp Synthesis
René Zurbrügg, Andrei Cramariuc, Marco Hutter
Dexterous grasping is fundamental to robotics, yet data-driven grasp prediction heavily relies on large, diverse datasets that are costly to generate and typically limited to a nar…
Pretraining in Actor-Critic Reinforcement Learning for Locomotion
Jiale Fan, Andrei Cramariuc, Tifanny Portela +1
The pretraining-finetuning paradigm has facilitated numerous transformative advancements in artificial intelligence research in recent years. However, in the domain of reinforcemen…
Multi-critic Learning for Whole-body End-effector Twist Tracking
Aravind Elanjimattathil Vijayan, Andrei Cramariuc, Mattia Risiglione +2
Learning whole-body control for locomotion and arm motions in a single policy has challenges, as the two tasks have conflicting goals. For instance, efficient locomotion typically…
GraspQP: Differentiable Optimization of Force Closure for Diverse and Robust Dexterous Grasping
René Zurbrügg, Andrei Cramariuc, Marco Hutter
Dexterous robotic hands enable versatile interactions due to the flexibility and adaptability of multi-fingered designs, allowing for a wide range of task-specific grasp configurat…
Learning Accurate Whole-body Throwing with High-frequency Residual Policy and Pullback Tube Acceleration
Yuntao Ma, Yang Liu, Kaixian Qu +1
Throwing is a fundamental skill that enables robots to manipulate objects in ways that extend beyond the reach of their arms. We present a control framework that combines learning…
Learning coordinated badminton skills for legged manipulators
Yuntao Ma, Andrei Cramariuc, Farbod Farshidian +1
Coordinating the motion between lower and upper limbs and aligning limb control with perception are substantial challenges in robotics, particularly in dynamic environments. To thi…
Dynamic object goal pushing with mobile manipulators through model-free constrained reinforcement learning
Ioannis Dadiotis, Mayank Mittal, Nikos Tsagarakis +1
Non-prehensile pushing to move and reorient objects to a goal is a versatile loco-manipulation skill. In the real world, the object's physical properties and friction with the floo…
Obstacle-Avoidant Leader Following with a Quadruped Robot
Carmen Scheidemann, Lennart Werner, Victor Reijgwart +5
Personal mobile robotic assistants are expected to find wide applications in industry and healthcare. For example, people with limited mobility can benefit from robots helping with…
Robust Ladder Climbing with a Quadrupedal Robot
Dylan Vogel, Robert Baines, Joseph Church +3
Quadruped robots are proliferating in industrial environments where they carry sensor payloads and serve as autonomous inspection platforms. Despite the advantages of legged robots…
Whole-body End-Effector Pose Tracking
Tifanny Portela, Andrei Cramariuc, Mayank Mittal +1
Combining manipulation with the mobility of legged robots is essential for a wide range of robotic applications. However, integrating an arm with a mobile base significantly increa…
Perceptive Pedipulation with Local Obstacle Avoidance
Jonas Stolle, Philip Arm, Mayank Mittal +1
Pedipulation leverages the feet of legged robots for mobile manipulation, eliminating the need for dedicated robotic arms. While previous works have showcased blind and task-specif…
Cybathlon -- Legged Mobile Assistance for Quadriplegics
Carmen Scheidemann, Andrei Cramariuc, Marco Hutter
Assistance robots are the future for people who need daily care due to limited mobility or being wheelchair-bound. Current solutions of attaching robotic arms to motorized wheelcha…