🔬 University#222 Salt Lake City, United States
Utah Learning Lab for Manipulation Autonomy
LL4MA at University of Utah focuses on learning-based approaches to robotic manipulation autonomy. Their research addresses multi-object manipulation, latent space planning, and relational learning for complex manipulation tasks.
manipulationrobot learningplanning
Notable achievements
IEEE Transactions on Robotics publications, latent space planning for multi-object manipulation
Notable work
Latent space planning for multi-object manipulationEnvironment-aware relational classifiers
Recent publications
All papers →Matched by this lab's specialties (keyword overlap + direct affiliation)
MANIPULATION
📊 0 cites
A hierarchical approach to imitation learning for manipulation tasks requiring time varying forces
Rishabh Shukla, Adithya Santhosh, Shaili Gandhi +2 more
Robotics and Computer-Integrated Manufacturing · 2026
MANIPULATION
Open access📊 0 cites
VLAConf: Calibrated Task-Success Confidence for Vision-Language-Action Models
Dehao Huang, Aoxiang Gu, Chengjie Zhang +5 more
2026
LEARNING
Open access📊 0 cites
MiraBench: Evaluating Action-Conditioned Reliability in Robotic World Models
Tianzhuo Yang, Zihan Shen, Zirui Mi +7 more
2026
SURGICAL
Technical challenges in autonomous robotic ultrasound examinations: perception, planning, and control.
Guo D, Zhang Y, Huang X +1 more
Journal of robotic surgery · 2026
MANIPULATION
Open access
How VLAs Fail Differently: Black-Box Action Monitoring Reveals Architecture-Specific Failure Signatures
Krishnam Gupta
2026
MANIPULATION
Open access
What Frozen VLAs Already Know About Success: A Probing Study of Value-Like Structure in Foundation Robot Policies
Jiachen Zhang, Junnan Nie, Junyi Lao +4 more
2026